Showing posts with label Perplexity. Show all posts
Showing posts with label Perplexity. Show all posts

Wednesday, September 2, 2026

Quiet Erasure 4: A little good news about AI

 Artificial intelligence now seems to arrive bearing two kinds of news. One is familiar: threats to work, privacy, attention, trust, and the already-fragile human connections that make ordinary life bearable. The other is harder to dismiss. AI may help find cancers earlier, improve medical decisions, forecast dangerous weather, reduce bureaucratic burdens, and extend scientific discovery.

The short imagined exchange below takes place in that unsettled space. Claire, a Millennial hospital project manager, sees a chance that AI might restore some time, clarity, and care to overburdened lives. Nia, a Gen Z urban planner, sees that possibility too. She simply has reason to wonder what happens after the technology is established a little more. 

This is an AI-assisted fictional dialogue. Perplexity.ai generated an initial draft from the Appendix prompt; the author supplied the research context, thematic premise, generational dynamic, and editorial direction, then substantially revised and selected the final language, structure, characterization, and conclusion. I had Perplexity then do a very extensive analysis of our relative contributions which I would be happy to share upon request.

The Quiet Erasure 4: A Little Good News About AI

Clker.com

The first thing you noticed about Claire was that she had arranged the table before she had arranged herself. Her leather notebook lay open beside a cup of coffee, gone cold, its pages marked with narrow strips of yellow paper. A blue-ink pen rested between columns of notes. She had printed the articles—not because she distrusted the screen, she explained, but because print gave a person “somewhere to put a doubt.”

Claire was forty-six, a senior project manager at a regional hospital, although the title did not quite capture what she did. She was a bridge between people who spoke different “languages” and exercised different kinds of power: doctors who spoke in urgency, software vendors who spoke in solutions, finance officers who spoke in savings, and nurses who spoke the reality of what would actually happen at 2:00 in the morning. Her phone lay face down. She wore a navy jacket over a soft gray sweater, good boots.

Across from her sat Nia, twenty-six, with no notebook. Her black hair was pulled into a loose, low knot. A canvas satchel leaned against her chair, a laptop inside it, along with rolled-up planning maps and a paperback novel with duct-taped spine. She was an urban planner, newly promoted, specializing in heat resilience and neighborhood infrastructure. In fact, Nia spent her days trying to answer questions like: Which blocks would become dangerous in extreme heat? Which residents had no trees, no reliable air-conditioning, no transportation, no nearby clinic? Why would a city’s map of “risk” look suspiciously like its old map of neglect?

They had met through a mutual friend. Claire liked her immediately, though that may not have been mutual at first. Nia listened in a way that could make you hear and reflect on your “indefensibles” before you could get away from them.

And between them, in Claire’s tablet, was an engaged conversant neither of them quite expected. At the top of the screen appeared the AI’s response to Claire’s question from the previous evening:

What are some genuinely hopeful recent developments in artificial intelligence?

The answer had been almost elegant in composition. That was part of the problem.

It included medical systems that could help clinicians reason through difficult diagnoses; tools that could identify cancers on scans before the signs were obvious to the unaided eye; models that could help predict whether a treatment might work for a particular patient; new ways of forecasting rare, catastrophic heat events.

Then it moved to: assistance with legal research, coding, paperwork, financial questions, scientific discovery. At the bottom, in a tone polished so it nearly sounded of kindness, the bot had written:

Artificial intelligence may be most valuable not when it replaces human judgment, but when it gives human beings more time for judgment, care, creativity, and one another.

“I know,” she said. “It sounds like something from a corporate wellness brochure, maybe even ours!”

Nia smiled. “A very expensive corporate wellness brochure.”

“But it is not wrong, is it?”

“No,” Nia said. “Not wrong . . .”

Claire sat back. “I have spent the last three years hearing that AI is going to destroy attention spans, eliminate jobs, make students cheat, make people lonely, impersonate everyone’s grandmother, and turn the internet into a landfill of fake photographs. I get that. Some of that seems entirely possible, too.”

“Generous of you.”

“Generous.”

“You are.”

Claire turned the tablet slightly, as if the information needed a better angle in order to be believed. “A doctor has a second opinion before the patient even leaves the room. A cancer gets caught years earlier. A city gets a better warning before a lethal heat wave. Somebody who cannot understand a medical letter or an insurance denial can get an explanation in plain English.”

Nia was listening intently.

Claire went on, almost in spite of herself.

“I know it can make errors. I know it hallucinates. I know you should not turn over your bank account, your bloodwork, or the nuclear codes to a chat window. But, I’m sure we can say that some of this is good.”

“We can,” Nia said, somewhat tentatively.

“Shouldn’t we if the evidence is there?”

Nia glanced down at the tablet. “Which evidence?”

Claire blinked.

“The evidence that it can help,” Nia said. “Or the evidence that it will help?”

The café was in its late-afternoon lull. A barista wiped down the counter. Outside, traffic seemed to be hissing, sliding on the wet shimmer left by a brief shower.

Claire rested her hands on her notebook.

“That sounds like your basic Nia distinction.”

“It is a distinction I use at work.” She relaxed a little. “We have models that can tell us which neighborhoods will be hottest in ten years. Sometimes they are excellent. But a map cannot plant a tree. It cannot keep someone’s power from being shut off in August. It cannot make an absentee landlord replace an air conditioner.”

Claire responded quickly . . . 

“So, you think the technology is sort of beside the point.”

“No.” Nia’s answer also came back quickly enough that Claire noticed. 

Claire began, “I think it can be very much the point. A better forecast or diagnosis can save a life. Tools that reduce the useless administrative work can give people back hours they never should have had to lose.”

“We agree about the tool,” Nia said.

Claire waited.

Nia looked down at the tablet again. The bright screen reflected faintly in her glasses. 

“I just…” She folded her hands around her coffee cup. “I’m not sure we agree about those holding it, the tool, now.”

The tablet, which had been quiet, produced a question.  Claire had left the evening conversation open.

“Would you like me to summarize the strongest arguments for responsible optimism about AI?”

For a moment neither spoke.

Then Claire read it out, aloud.

Nia gave a short laugh and leaned back in her chair, not really amused.

“It is good at asking the next question, even when not invited.”

“That is sometimes the mark of a really good assistant.”

“What unsettles me is that it can always recommend one more solution. It never has to ask who will carry it out, who will pay for it, or whether we have already asked people to absorb enough.

”Claire studied the look on her face as she spoke.

“Enough of what?”

Nia had to think. Outside, the rain had slowed. A bus stopped in front of the café, an ad for an AI dating app glowing along its side.

“Enough… well, systems,” she said finally. “Enough things that are supposed to make life easier—even love easier—but somehow make us responsible for more. More passwords. More forms. More decisions. More things we have to learn just to keep from being left behind.”

Claire nodded, though slowly.

“I suppose,” she said, “that I liked the idea of getting some time back.”

Nia looked at her as the guardedness in her face eased.

“I know. Me, too”

Claire turned toward the window. “I don’t mean leisure. Not exactly. I mean… “ I spend all day moving information from one place to another so people can prove they have already moved it somewhere elseI answer questions no one should even have to ask. I have to explain systems that I know were designed to be impossibly complicated.”

She shrugged.

“And sometimes I go home thinking that if something could take even twenty percent of that away, maybe I would be better at the part of my job that matters.”

Nia was quiet longer than Claire expected.

“You probably would,” she said at last.

“That is not a small thing.”

“No,” Nia said. “It is not.”

But the flow of Nia’s voice had changed. It had become warmer, less like a rebuttal than a quiet admission.

Claire opened the tablet again, almost shyly.

“Now there is one about medicine,” she said. “An AI system that helped clinicians with difficult diagnoses. Not replacing them. Helping. And another about pancreatic cancer—cases that had looked normal on scans. If it finds something early enough…”

She did not finish.

“My uncle died of pancreatic cancer,” Nia said 

“I am sorry.”

“He was fifty-eight.” Nia looked at the table, away from Claire for a moment. “He had pain for months. They kept looking for ordinary explanations. By the time it was clear, it was already…” She made a small motion with one hand, as though the rest of the sentence had gone somewhere she could not follow.

Claire said nothing.

“So, yes,” Nia continued, quickly at first. She slowed herself down. “Yes. If a system catches something a doctor misses, I do not want anyone rejecting it because they are frightened of machines, or because they want some pure version of medicine that never existed.”

Claire nodded.

“I would want it,” Nia said. “I would want it for my family. I would want it for anyone.”

The thought seemed to sit between them.

Nia looked back at the screen.

“But I keep coming back to what happens after everybody agrees it works.”

Claire did not answer.

“If a hospital buys the system,” Nia said, “and then someone in an office decides that one radiologist can do the work that used to take three…”

She paused.

“Would that be called progress?”

She looked toward the window, then back at the tablet.

“If it works beautifully at a hospital with money, specialists, lawyers, data scientists, and a public-relations department—but not at the rural clinic forty miles away, or the public hospital where people already wait months to see someone—what exactly have we improved?”

Claire closed the tablet.

“We might have improved it for some people,” she said.

“Yes,” Nia said, her voice fading slightly. “And I suppose that does matter.”

Claire looked up. “But?”

Nia shook her head. “No but. Not exactly.” She held her breath for a moment. “I am trying not to make every hopeful thing sound foolish. I know how exhausting that is. I know I do it.”

“You do not have to apologize for noticing things.”

“I am not apologizing.” She smiled briefly. “I am saying I get tired of being the person who seems to throw cold water on good news.”

“You are not.”

Nia glanced at the screen again. “I get afraid of believing too quickly. Because then I might start depending on it. And if I do, I could lose sight of who is being left out.”

Claire let that settle.

The café had grown quieter. The barista turned chairs upside down on empty tables. Somewhere behind them, a machine pinged lightly, then stopped.

Claire looked once more at the message on the screen:

Artificial intelligence may be most valuable not when it replaces human judgment, but when it gives human beings more time for judgment, care, creativity, and one another.

“It is a beautiful sentence,” Claire said.

“It is.”

“You do not trust it.”

Nia did not answer immediately.

“I trust that it is possible,” she said. “That may be the hardest part.”

Claire had wanted an uncluttered piece of good news or two: some data to set against the accumulating unease of the last few years. Earlier diagnoses. Better warnings. Fewer wasted hours. Help where help had been missing. She still believed those things mattered. The news was, after all, good.

Across the table, Nia looked tired—not defeated, not cynical, but quiet in a way Claire recognized. It was the fatigue of someone who had been asked to inherit too many unfinished emergencies and call them opportunities.

Outside, a low rumble of thunder moved across the valley. For an instant, light flashed in the café window, catching both their reflections: Claire’s face turned toward the closed tablet, Nia’s toward the weather.

“Do you think it will help?” Claire asked.

Nia did not answer at once.

“I think it already is helping,” she said.

Nia looked down at the thin, dark tablet, waiting patiently for the next question.

“I just keep wondering what it will cost.”


For a list of 12 recent developments in AI, see last weeks' blogpost. 

Prompt:l (Here is what I began with. The final version is the 4th. The basic theme and direction held.) 

Have an idea. Let's imagine a conversation between a Gen Quiet Erasure #4: A Gen Z, a Millennial and an AI future. Create a dynamic with Gen Z, the Millennial and (perhaps) AI where the Millennial had awoke to what might be some of the benefits of AI (but is still relatively lightly informed about it) and is gently brought back to reality by the other two. Was going to use some of the 12 "new" developments or benefits of AI that I had been working on. The ultimate effect upon the reader should be a bit poignant but jarring, with two streams converging at the end but not intersecting, the positive temporarily optimistic millennial's and the Gen Z's deep sense of uncertainty and healthy skepticism.


My email: wracton@gmail.com
My Legalshield website: williamacton.legalshielassociate.com



Tuesday, January 13, 2026

An ambivalent octogenarian take: The talkin' good mornin' AI chat bot blues!

 Here's the recording


Here's the lyrics: 

The talkin’ good mornin’AI chat bot blues!


Sittin’ in the kitchen, (just) the toaster and me
When my Mac starts hummin’ it was ChatGPT!
said “why you sinkin’ Bill-- of course it knew
“Here’s somethin’ to stare at; that oughta do . . . 

Feeling better already . . . soft and cuddly       
        warm and wuzzy . . . 

Then my executive function, Grok, come up
In my pre-frontal cortex, so I could fill up my cup
Next, Alexa, with the lay of the land
a map and pointer, for my trip to the can. 

All the way down the hall  . . . all the way back. 
        I Depends on Alexa . . . 

Chorus
Got them, Alexa, Copilot, ChatGPT, 
Glok, Claude, Siri and Perplexity . .. 
Replika, Bixby, Pi, Deepseek, too, 
Meta, Poe and Gemini see me through.
The talkin’ good mornin’AI chat bot blues!

Got a bit perplexed but Perplexity was there
With research and footnotes to fend off despair.
Finally, Siri, arrived to seize the day
With soothin’ words ‘bout what we’ll do today . . . 

Clickin’ on Duck Duck . . . buying a yak in Ulaanbaatar . . . 
         sharing my hopes and dreams with Miss Kitty

Now we’re sittin’ in the kitchen, calm as we can be
Just the toaster, coffee, my botties and me . . . 
No need to worry, can’t go wrong
Hey, one of you take the end of this song?

An AI for an I; Meta-for-me; Glok n' load! 
Nice, 10-4, good Bot-y! 10-4!

Chorus

Got them, Alexa, Copilot, ChatGPT, 
Glok, Claude, Siri and Perplexity . .. 
Replika, Bixby, Pi, Deepseek, too, 
Meta, Poe and Gemini see me through.
The talkin’ good mornin’ AI chat bot blues!


Clker.com






For more on how to protect you and yours from the bot attacks on your money and identity today, here is my website: 
www.williamacton.legalshieldassociate.com
and my email address: wracton@gmail.com



Monday, January 5, 2026

Responding to the inevitability of universal, global digital IDs

If you live in China, Australia, Great Britain, Ireland, Canada and any number of others,

  •  You have already been "surrendered" to the curse of your digital ID and the absolute power of your "overlords" in government and beyond of being capable of censoring and penalizing you for anything you say, virtually or otherwise. 
  • In the US the issue is a bit more in doubt, but I suspect that is but temporary for most of us, but a rear-guard action in our retreat as well. One of the key accelerants, of course, is AI. 

The ramifications of not only being fully digitized as an individual, as in China today, for example, but having the system managed by AI is mind numbing. So, I asked Perplexity AI to suggest how one best in this environment can still protect or preserve identity and things of value. With my edits and comments, here is the reply: 

“Living in a fully digitized, AI managed identity system shifts the default from “anonymous by default” to “tracked by default,” so self protection means deliberately rebuilding some autonomy, ambiguity, and resilience on top of that environment.” [1][2]

A. Core risks in AI managed ID and processes

   1. Linkage of everything: Centralized digital IDs and social credit style systems let states or platforms link financial records, location, communications, and behavior into one profile, often scored for “trustworthiness.”[3][4][5]

   2. Automated punishment and exclusion: Once access to travel, banking, or social services flows through digital ID, AI systems can quietly downgrade or block people (“un personing”) based on opaque rules, errors, or politics.[6][7]

   3. Biometric lock in: Facial recognition and other biometrics tie your physical body to the system, and leaks are irreversible because you cannot change your face or fingerprints like a password.[8][1]

B. Strategic posture: Key assumptions and operating principles

   1. Assume visibility, fight linkage: Act as if core actions are observable, but work to prevent everything from being tied to a single profile where possible (legal, technical, and behavioral separation).[9][10]

   2. Resilience over invisibility: In a world of mandatory digital ID, the main defense is not disappearing but ensuring revocation, scoring, or misuse cannot destroy your ability to live, work, and transact.[7][11]

C. Practical moves: identity and data management

   1. Minimize exposed data: Share only what is required; avoid posting detailed personal patterns (travel, routines, family identifiers) that AI can mine and link back to you.[12][1]

   2. Strong authentication and compartmentalization: Use hardware keys or strong multifactor authentication on critical accounts, and keep separate email/phone identifiers for finance, government, and social life to reduce cross linking and fraud risk.[13][9]

   3. Limit biometrics where optional: Prefer non biometric factors when you have a choice, and be cautious about handing face/voice data to commercial services that might feed large AI models.[2][1]

D. Legal, institutional, political and technical shields

   1. Support hard constraints on revocation power: Back laws and policies that forbid governments or ID issuers from remotely disabling digital IDs or making them a condition for all online activity.[10][7]

   2. Push for privacy by design ID: Favor systems with data minimization, purpose limitation, and strong audit trails over open ended data sharing with AI systems and third parties.[14][11] 

   3. Use intermediaries and advocates: Identity protection services, legal plans, and civil liberties groups can challenge wrongful scoring, misuse of data, and automated decisions when you are targeted or misclassified.[15][14]l

E. Preserving non digital value and self-representations

   1. Keep critical assets partly offline: Maintain some wealth, documents, and proof of relationships in forms that do not depend entirely on a single digital account or credential (e.g., diversified financial institutions, physical records in secure storage).[14][10]

   2. Cultivate alternative reputations: Build trust and standing in offline communities—professional, local, relational—so that your practical identity does not live only inside a state or platform score.[5][10]

   3. Practice “information asceticism”: Treat what you reveal—habits, networks, convictions—as a scarce resource; disclose intentionally, not reflexively, especially in environments that feed data directly into scoring or surveillance AI.[1][9]

My work with LegalShield and IdentityShield falls into D3, Identity protection services, legal plans: williamacton.legalshieldassociate.com. I have personally taken up the suggestion below and would recommend that strategy as well. 

(Additional offer by Perplexity) If you like, a next step can be a concrete checklist tailored to your specific institutions (banks, insurers, ID protection tools) and to the worst case scenarios you most want to be resilient against.

Clker.com





Sources

[1](https://www.dataguard.com/blog/growing-data-privacy-concerns-ai/)
[2](https://www.ibm.com/think/insights/ai-privacy)
[3](https://en.wikipedia.org/wiki/Social_Credit_System)
[4](https://decodingthedragon.substack.com/p/34-the-evolution-and-truth-of-chinas)
[5](https://jpia.princeton.edu/news/social-credit-system-not-just-another-chinese-idiosyncrasy)
[6](https://www.bertelsmann-stiftung.de/fileadmin/files/aam/Asia-Book_A_03_China_Social_Credit_System.pdf)
[7](https://www.aclu.org/news/privacy-technology/un-personing-with-digital-id)
[8](https://joinhorizons.com/china-social-credit-system-explained/)
[9](https://www.propelex.com/blog/ai-digital-identity-data-privacy-2025/)
[10](http://digitalgovernmenthub.org/library/digital-ids-must-be-safe-secure-and-accessible/)
[11](https://www.atlanticcouncil.org/in-depth-research-reports/issue-brief/trustworthy-digital-identities-can-set-the-standards-for-secure-benefits-provision-in-the-us/)
[12](https://www.idmanagement.gov/experiments/cdns/paper3/)
[13](https://statetechmagazine.com/article/2023/11/3-ways-state-agencies-protect-citizens-digital-identities)
[14](https://trustarc.com/resource/risk-management-brief-ethics-privacy-risks-ai/)
[15](https://www.odni.gov/files/NCSC/documents/campaign/DoD_IAPM_Guide_March_2021.pdf)
[16](https://www.cigionline.org/articles/taking-the-wrong-lesson-from-chinas-ai-strategy/)
[17](https://open.metu.edu.tr/bitstream/handle/11511/101891/Artificial%20Intelligence%20and%20Social%20Credit%20System%20in%20China%20-%20Turgut%20BASER%20-%202013605.pdf)
[18](https://www.youtube.com/watch?v=Ps0Si4FhOPM)
[19](https://bigid.com/blog/identity-governance-for-ai-systems/)
[20](https://fpf.org/blog/minding-mindful-machines-ai-agents-and-data-protection-considerations/)

Saturday, January 3, 2026

No Fear! (or AI PHOBIA! ) Thumbnail sketches of seven worldview's ways of coping

This is something of a follow on, deeper dive, to the recent post "AI's (Perplexity) Guides to dealing with AI-enhanced fraud and scams: General, Christian, Muslim, Atheist/secular humanist, "Senior Citizen," and Japanese Buddhist/Shinto approaches" 

As in that post, the initial draft and reference listing was "co-created" using Perplexity AI. In what follows, my comments or paraphrases are generally in boldface/italics. Part of the prompts for the text included framing the material in blog style. For more detailed discussion of each worldview, see the "mother" blog. 

"AI isn’t just a technology story. It is a worldview stress test."  

For some, AI phobia is very real: a knot in the stomach about job loss, deepfakes, surveillance, or a machine future where humans no longer matter. Psychologists now talk about “AI anxiety” as a specific flavor of technophobia, mixing fear of the unknown with a sense that things are changing too fast to understand or control.[1][2]

How differently our basic worldviews may "metabolize" that fear:

If you begin from a traditional theist frame

  • AI is not ultimate—God is. 
  • AI becomes one more powerful tool that must submit to moral law and the command to love your neighbor.  
  • The real danger is not “the robots” but human sin expressed through new capabilities.[3][4][5]

From a secular humanist perspective, 

  • There are no divine guarantees, but there is confidence that humans can still set the rules. 
  • AI phobia here is a call to action: insist on transparency, regulation, and alignment with human rights and dignity.  
  • Fear is something to turn into civic engagement.[6][7][8]

A hard scientific materialist 

  • Sees AI as complex machinery plus hype. 
  • Fear gets reframed as a prediction error: an evolved brain reacting badly to unfamiliar risk. 
  • The remedy is data: measure actual harms, build safety protocols, and push back against apocalyptic storytelling with evidence.[9][1]

Eastern or non‑dualist traditions 

  • May see AI as another impermanent phenomenon in a web of interdependence. 
  • Anxious clinging to “how things used to be” is part of the suffering. 
  • The response is inner training—mindfulness, ethical intention, community norms for compassionate use—rather than grand promises of control.[2][3]
Traditional Chinese (Three Teachings) worldview
  • Sees AI through a blended lens of Confucian, Daoist, and Buddhist ideas, prioritizing family duty, social harmony, and alignment with the larger order of things.[1][2][3]
  • Addresses AI phobia by focusing on **ethical governance and harmony**: calm inner attitudes toward change, firm outer rules to prevent social disruption, and channeling AI into roles that support education, order, and collective well‑being rather than undermine them.[4][5][6][7]
Contemporary Evangelical Christian
  • Sees AI within God’s providence and under the authority of Scripture, emphasizing personal salvation, evangelism, and the need for discernment in a morally confused digital age.[1][2][3][4]
  • Addresses AI phobia through **trust and testing**: urging believers to reject fear‑driven doom narratives, place ultimate security in Christ rather than technology, and rigorously “test the spirits” of new tools
  • Using AI for mission, service, and daily work only where it aligns with biblical ethics, protects the vulnerable, and avoids idolatry of efficiency or progress.[2][3][4][5][6][1]
And then there is the apocalyptic or technognostic frame

  • AI as either the Beast or the Singularity. 
  • Here AI phobia can spiral into dread—
  • or into urgent calls for repentance, moratoriums, 
  • or radical limits on machine power.[10][11][9]

So here, of course, is the question:  

  • Which of these feels most like home or gulag to you?  
  • How does that lens shape what you fear most about AI—and what you hope for?  
  • What would/does/did it take, in your worldview, to move from paralysis to responsible action?  

Use the comment section to respond or push back. The next post will be a survey of empirical reseach on the general phenomenon, generally from the "hard scientific" and "secular humanist" perspectives. 

Clker.com

Sources

[1](https://www.sciencedirect.com/science/article/pii/S294988212500012X)
[2](https://www.calm.com/blog/ai-anxiety-tips)
[3](https://ccta.regent.edu/the-intersection-of-artificial-intelligence-and-christian-thought-a-vision-for-the-future/)
[4](https://cbhd.org/dignitas-articles/ai-and-human-futures-what-should-christians-think)
[5](https://christoverall.com/article/longform/a-christians-perspective-on-artificial-intelligence/)
[6](https://humanistperspectives.org/234/artificial-intelligence-and-humanism-in-action/)
[7](https://humanists.uk/2025/07/10/humanists-pass-global-declaration-on-artificial-intelligence-and-human-values/)
[8](https://itlawco.com/secular-ai-ethics-building-a-universal-code/)
[9](https://bloustein.rutgers.edu/samuel-and-colleagues-examine-the-rise-of-ai-phobia/)
[10](https://www.mastersbiblechurch.com/blog/why-christians-should-stay-informed-about-ai)
[11](https://religionnews.com/2025/12/23/ai-comes-with-a-built-in-worldview-christians-need-to-understand-it/)

Chinese Worldview sources

[1](https://en.wikipedia.org/wiki/Three_teachings)
[2](https://thequran.love/2025/11/14/influence-of-buddhism-taoism-confucianism-agnosticism-and-atheism-in-mainland-china/)
[3](https://en.wikipedia.org/wiki/Religion_in_China)
[4](https://asiasociety.org/education/three-teachings)
[5](https://www.geopolitechs.org/p/china-releases-draft-technology-ethics)
[6](https://www.chinalawvision.com/2025/01/digital-economy-ai/ai-ethics-overview-china/)
[7](https://carnegieendowment.org/research/2025/10/how-china-views-ai-risks-and-what-to-do-about-them?lang=en)

Evangelical Christian Worldview sources

[1](https://ccta.regent.edu/the-intersection-of-artificial-intelligence-and-christian-thought-a-vision-for-the-future/)
[2](https://cbhd.org/dignitas-articles/ai-and-human-futures-what-should-christians-think)
[3](https://christoverall.com/article/longform/a-christians-perspective-on-artificial-intelligence/)
[4](https://www.mastersbiblechurch.com/blog/why-christians-should-stay-informed-about-ai)
[5](https://au.thegospelcoalition.org/article/as-a-christian-i-went-down-the-ai-rabbit-hole-here-are-12-things-i-discovered/)
[6](https://religionnews.com/2025/12/23/ai-comes-with-a-built-in-worldview-christians-need-to-understand-it/)

Wednesday, December 31, 2025

AI's (Perplexity) Guides to dealing with AI-enhanced fraud and scams: General, Christian, Muslim, Atheist/secular humanist, "Senior Citizen," and Japanese Buddhist/Shinto approaches

THE PROBLEM: In about a year moving from Canada to the US we were
Clearly, we needed a little help with protecting our online life and identities, other than what was provided by our financial institutions and VPNs. Also, had we been able to afford lawyer(s)  . . . who knows . . . !

THE PLAN: Have decided to become part of the solution, not just for us, but for my friends and associates who don't have the time or resources to put together a feasible plan for themselves. (Check with me, wracton@gmail.com) for more on that!) 

Clker.com

ASK THE DRAGON:
So, I asked AI for some thoughts on how to best deal with all the above and beyond. What follows is basically Perplexity AI's respnnse with my added comments in italics. The sources Perplexity took material from are, all things considered, not bad, although the focus was on more advice rather thatn evidence-based protocols and "rules," and many are relatively "light weight." Nonetheless, the general perspectives seem to be relatively consistent. And, as always, AI "sins" more by omission than by commission!

Perplexity AI begins here:

Worldview and perspectives: 

Understanding your worldview—what you believe about people, institutions, money, truth, and technology—matters because it quietly shapes how much you trust others, how quickly you act under pressure, and how you interpret messages and offers. If your assumptions were formed in an era of handshake deals, stable institutions, and slower change, they can make it harder to recognize how different today’s AI‑driven, high‑speed fraud environment really is. ​​(gotzero +2)

​In addition to the General set of procedures here, directed toward a family application, there are
(c) An Atheist/secular humanist perspective
(d)  A basic approach for those in their sixth decade and beyond.
(e) A Japanese Buddhist/Shinto perspective
 
THE QUESTION/PROMPT: How can I best protect my family, resources and identity today, especially with the increasing threat of AI-generated fraud and deep fakes?

THE General GUIDE: Procedures

"The most effective protection in 2025 is a layered strategy: lock down your accounts and devices, sharply upgrade how your family verifies “urgent” requests, and minimize exploitable personal data online. This reduces the risk from AI driven scams, deepfakes, and traditional identity theft at the same time. (acrisure+4)

Biggest AI driven threats now
  • AI makes phishing and social engineering messages highly personalized, including realistic emails, texts, and websites that mimic banks, brokerages, and government agencies. (norton+1)
  • Deepfakes and voice cloning are being used for “grandparent” scams, fake kidnapping/extortion calls, and CEO style payment requests, where a cloned voice or video urges urgent action. (jpmorgan+1)
  • Deepfake video and face/voice spoofing can bypass some basic biometric and video ID checks, feeding both classic identity theft and fraudulent benefit or loan applications. (fcnb+1)

Lock down accounts and devices
  • Enable multi factor authentication (MFA) on every important account (email, banking, brokerage, password manager, government logins), using an authenticator app or hardware key rather than SMS wherever possible. (hefcu+1)
  • Use a reputable password manager and make all passwords long, unique, and randomly generated; this sharply reduces reuse based account takeovers. (cloudeagle+1)
  • Keep operating systems, browsers, and security software fully updated and use a modern security suite that includes phishing and malicious site blocking. (hefcu+1)

Defend against deepfakes and social engineering
  • Establish family verification protocols: a shared passphrase or question that must be used on any urgent money or data request by phone, text, or video, even if the voice/face seems familiar. (aba+1)
  • For any out of pattern request (wire transfer, gift cards, changing banking info), always verify through an independent channel: hang up and call back on a known number or in person if feasible. (acrisure+1)
  • Train family members to slow down when confronted with emotional urgency (crisis, law enforcement threats, “act now or lose everything”) and treat that urgency itself as a red flag.cybersecurity. (yale+1)

Reduce identity exposure and monitor for misuse
  • Limit public sharing of birth dates, addresses, high resolution photos, and voice/video clips that make cloning easier; tighten social media privacy settings to restrict data scraping. (proof+1)
  • Turn on bank, credit card, and brokerage alerts for new payees, large transfers, logins from new devices, and card not present transactions; many institutions now use AI to flag anomalous activity in real time. (mastercard+1)
  • Use an identity monitoring / dark web alert service (from a bank, insurer, or specialist provider) that watches for breached credentials and new account fraud in your name. (id+1)

Concrete next steps for your situation
  • Prioritize your “crown jewels”: primary email, tax SSA/IRS accounts, bank/brokerage, and password manager; add app based MFA and review recovery options on each this week. (cloudeagle+1)
  • Run a quick “family safety briefing” (spouse, adult children, key contacts) to set a code phrase, document the callback numbers you trust, and agree that no one moves money on the basis of a single urgent message or call. (aba+1)
  • Ask your financial institutions and any identity protection provider you use which AI enhanced fraud detection and alert tools they already offer, and enable the most conservative settings that still fit your lifestyle. (id+1)

If you share a bit about which banks/brokerages and identity protection tools you already use, a custom checklist can be created that fits your exact accounts and your family’s tech comfort level."

(My) Summary/Comments: 

A. Use multi-factor authentication system
B. Use a password manager
C. Use independent channels in verifying requests and queries 
D. Turn on alerts (banks, credit cards, etc.)
E. Use an identity monitoring service with dark web alert functions
F. Other recommended actions (not mentioned above)
    a. Be part of a team, if possible, or at least have one trusted connection to consult with. 
    b. Have legal consultation and backup available when necessary
    c. Have both eCopies and hardcopies securely filed.
    d. Have updated wills and key connections/beneficiaries oriented to their respective roles. 
    e. Have or at least know a good tax accountant.
    f. Continually take training/orientation courses—on most anything!
    g. Be at least a competent (not necessarily enthusiastic), informed user of AI!


Sources
1. https://www.acrisure.com/blog/ai-deepfake-scams-2025-guide
2. https://www.hefcu.com/news/ai-fraud-and-how-to-protect-yourself
3. https://us.norton.com/blog/online-scams/top-5-ai-and-deepfakes-2025
4. https://www.mastercard.com/us/en/news-and-trends/stories/2025/cybersecurity-2025-year-in-review.html
5. https://www.fcnb.ca/en/guides/protecting-yourself-from-ai-and-deepfake-scams
6. https://sift.com/blog/how-ai-is-fueling-online-fraud-in-2025-and-what-businesses-can-do-about-it/
7. https://www.jpmorgan.com/insights/fraud/fraud-protection/ai-scams-deep-fakes-impersonations-oh-my
8. https://network.id.me/article/fighting-the-new-face-of-identity-theft/
9. https://www.techprescient.com/identity-security/multi-factor-authentication-mfa/
10. https://www.cloudeagle.ai/blogs/identity-management-best-practices
11. https://www.aba.com/about-us/press-room/press-releases/aba-foundation-and-fbi-joint-infographic-on-deepfake-scams
12. https://cybersecurity.yale.edu/monthly-tip/july-2025
13. https://www.credithuman.com/building-slack/what-financial-fraud-really-is-and-five-ways-to-protect-yourself
14. https://www.proof.com/blog/deepfake-scams-how-to-spot-them
15. https://www.iddataweb.com/ai-fraud-detection/
16. https://efraudprevention.com/security/Prevent_deepfake_fraud_attacks.html
17. https://securityscorecard.com/blog/iam-in-2025-identity-and-access-management-best-practices/
18. https://cloudsecurityalliance.org/blog/2025/07/02/mfa-made-easy-8-best-practices-for-seamless-authentication-journeys
19. https://alsafarpartners.com/blog/legal-articles-and-judgements-4/how-to-protect-yourself-from-ai-scams-in-2025-344
20. https://www.infisign.ai/blog/multi-factor-authentication-mfa-best-practices

    



Saturday, June 21, 2025

EAPIC AI, AI, AI, AI! (Summer 2025, English Accent and Pronunciation Improvement Course)

The summer course begins with a short recorded introduction available on Youtube, June 26th! (See fuller course description here.)  It includes a new AI-generated personalized homework feature (AI, AI, AI, AI!) The link and outline will be available here on the blog. 

In about two months make good progress in improving your English accent or pronunciation and be trained in how to keep on after the course--in about 30 minutes a day.  This is a 10-week course: 

  • The recorded, 20-minute weekly training lessons are free, available Thursdays on Youtube and Vimeo.
  • Personalized homework is created by students using Gen-AI (your choice of program; I use Perplexity.) Here is an example of what the AI-generated homework looks like. 
  • The next week on Wednesday at 8 p.m. EST there is a live, optional 60-minute Zoom feedback session on that lesson for those students enrolled in the course (for $200 USD) or teachers who'd like to learn more about the system. The feedback sessions are also recorded.

To really benefit from the course, you should do the assigned daily homework and attend the optional feedback sections. The course officially begins Thursday June 26th, but you can join it anytime and still get caught up!  For more info or to enrol, contact me directly: wracton@gmail.com

Keep in touch!

Bill



Saturday, June 14, 2025

AI, AI, AI, AI! (AI takes over creating personalized, haptic pronunciation teaching homework!)

 A core component of the English Accent and Pronunciation Improvement Course is the weekly embodied oral reading. Each week students are trained in a "Movement, tone, tempo and. touch technique" (MT4) that is then practiced in the oral reading in various ways. Part of the process is the student applying the MT4 to a ~300 word text. The personalized text will be generated by AI (I use Perplexity currently, but any Chat-GPT arrived at a similar "solution.") Here is a simple example. (The basic prompt, fill-in-the-blank format is provided for students each week. In this case, the career discipline or context area, accounting, and the proficiency level and L1 of students are filled in.) 

  • Generate a word list that includes 20 technical terms used in accounting that can be difficult to pronounce for advanced adult learners of English whose native language is Korean. Include the phonetic transcription of each along with the word, itself. 
  • Create an engaging, 300 word story with as much dialogue as possible, using those 20 words, where the basic theme is where an accountant is probably stealing from one of the firm's clients.
WHAT FOLLOWS IS WHAT PERPLEXITY PRODUCED: 
-------------------------------------------------------------------------------

The Case of the Missing Revenue

At the prestigious firm of Ledger & Logic, the morning began as usual: the aroma of coffee mingled with the faint scent of freshly printed balance sheets. But today, something was off. Ms. Park, the head accountant, was hunched over her desk, eyes darting between the income statement and the cash flow report, her fingers nervously tapping the edge of the fiscal calendar.

“Strange variance in the revenue again,” she muttered, highlighting numbers with the intensity of a forensic auditor. The asset manager, Mr. Kim, peeked over her shoulder. “Did you check the subsidiary accounts? Last month’s reconciliation didn’t quite add up.”

Ms. Park nodded, flipping through a stack of inventory reports. “I did. But there’s an expense entry for ‘Mystery Amortization’—and I can’t find any supporting documents.” She frowned, recalling the audit last quarter, when a similar anomaly appeared under ‘depreciation’ for office plants.

As the team gathered for their weekly consolidation meeting, the boss announced, “We need to address the liability on our client’s books. The equity position looks weaker every month.” The room fell silent. Even the intern, who had just learned the difference between accrual and actual cash, sensed trouble.’

Suddenly, Mr. Kim spoke up. “I noticed the same thing in the reconciliation for our biggest client. The audit trail leads to a fiscal black hole—right into Mr. Cho’s office.” All eyes turned to Mr. Cho, who was busy pretending to do a subsidiary inventory count.

With a dramatic flourish, Ms. Park produced the incriminating balance sheet. “It’s clear: someone is siphoning off assets and hiding them under bogus expense and depreciation entries. The only question is—how long has this been going on?”

The office buzzed with whispers. In accounting, numbers never lie—but sometimes, accountants do.

The word list: 

Here is a list of 20 technical accounting terms that can be challenging for advanced adult English learners whose native language is Korean. Each term includes its standard IPA phonetic transcription, highlighting sounds that are often difficult for Korean speakers (such as /r/, /l/, /v/, /f/, /θ/, /ð/, /z/, and certain vowels).

Term IPA Pronunciation
  • accounting /əˈkaʊn.tɪŋ/
  • asset /ˈæ.sɛt/
  • liability /ˌlaɪ.əˈbɪl.ə.ti/
  • equity /ˈɛk.wɪ.ti/
  • revenue /ˈrɛv.əˌnuː/
  • expense /ɪkˈspɛns/
  • depreciation /dɪˌpriː.ʃiˈeɪ.ʃən/
  • amortization /əˌmɔːr.taɪˈzeɪ.ʃən/
  • accrual /əˈkruː.əl/
  • reconciliation /rɪˌkɒn.sɪl.iˈeɪ.ʃən/
  • inventory /ˈɪn.vənˌtɔːr.i/
  • audit /ˈɔː.dɪt/
  • balance sheet /ˈbæ.ləns ʃiːt/
  • income statement /ˈɪn.kʌm ˈsteɪt.mənt/
  • cash flow /kæʃ floʊ/
  • fiscal /ˈfɪs.kəl/
  • variance /ˈveə.ri.əns/
  • subsidiary /səbˈsɪd.iˌɛr.i/
  • consolidation /kənˌsɒl.ɪˈdeɪ.ʃən/
  • reconciliation /rɪˌkɒn.sɪl.iˈeɪ.ʃən/
Notes on Pronunciation Challenges:
  • /r/ and /l/ distinctions (liability, reconciliation, accrual, balance)
  • /v/ and /b/ (revenue, variance)
  • /f/ and /p/ (fiscal, profit)
  • /θ/ and /ð/ (method, although not in this list, is common in accounting)
  • Vowel differences, especially /æ/, /ɪ/, /ʌ/, /ə/
  • Stress patterns in multisyllabic words (depreciation, amortization, consolidation)
  • These terms are essential in accounting and are frequently sources of pronunciation errors for Korean speakers due to the differences in sound inventories and syllable structure between English and Korean.
------------------------------------------------------------------------------
Not bad, eh! For this lesson, the MT4 is breaking up the sentences into rhythm groups, identifying the word with the most emphasis and then gesturing (jesturing!) on that word with the left hand tapping on the right deltoid muscle, termed the Syllable Butterfly. (You can see the training for that in this lesson from the Spring 2025 course.) 

Friday, May 30, 2025

Back to the future of (haptic) pronunciation teaching: beginning June 23rd!

The 2025 summer English Accent and Pronuncition Improvement Course (EAPIC) begins next month on the 26th. (The Spring course materials and videos are still available here.) I asked Perplexity about it, since it will figure in very prominently in all lessons of the new course:

"The English Accent and Pronunciation Improvement Course (EAPIC), built on Acton’s haptic pronunciation teaching, is notably effective for English learners of all ages, abilities, and backgrounds due to its unique integration of movement, touch, and embodied practice. Unlike traditional pronunciation methods that rely heavily on auditory and visual cues, haptic pronunciation teaching (HaPT) systematically incorporates gesture and touch, creating a multisensory learning experience that enhances memory, recall, and confidence in spoken English.

This approach draws inspiration from voice training, embodied oral reading, and kinesthetic learning, allowing learners to physically anchor sounds and patterns in their bodies. Such “haptic anchoring” supports deeper integration of new pronunciation habits, much like muscle memory in sports or music training.The method is adaptable, making it accessible to learners regardless of age, native language, or prior phonetic knowledge. Regular, structured practice—both in and out of class—ensures that improvements are not only rapid but also sustainable, while the engaging, movement-based activities boost motivation and make learning enjoyable.

Ultimately, Acton’s haptic method empowers learners to internalize English pronunciation in a way that is memorable, meaningful, and effective across diverse learner profiles."

Could not have said it better myself . . . (In fact most of those terms and phrases are extracted directly from the blog and publications I have been involved with!) The embodied oral reading of the course will be all AI generated--by the students themselves--to provide the optimal context and personal connection between the genre, vocabulary and proficiency level of the learner and the practice materials. 

The weekly, 30-minute course training videos are free, on Youtube and Vimeo. Enrolment in the 60-minute live feedback sessions is optional ($250 USD). 



Join us next month!