『Ethical AI : Let's Make Sense Of This Sh*t』のカバーアート

Ethical AI : Let's Make Sense Of This Sh*t

Ethical AI : Let's Make Sense Of This Sh*t

著者: Morgan
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This show is for managers, marketers, educators, and knowledge workers (30–55) who use ChatGPT-class tools daily and need workplace guardrails, not prompt-engineering tricks or doomsday hype. We own responsible AI policy — disclosure, bias checks, copyright, training-data awareness, and team norms — in copy-paste checklist format. We never compete with `digital-privacy-lets-make-sense-of-this-sht` on password managers and 2FA, or with therapy slugs on AI-anxiety healing narratives. We also avoid the overcrowded "10 ChatGPT hacks" lane. Each episode answers one workplace question with a script or policy paragraph teams can adopt this week. --- Topics include: Ethical AI. Audio for this show is produced with AI assistance. Episodes are researched, scripted, and reviewed for accuracy before release.

Become a supporter of this podcast: https://www.spreaker.com/podcast/ethical-ai-let-s-make-sense-of-this-sh-t--7076292/support.© 2026 Let's Work This Sh*t Out
エピソード
  • AI in the Classroom: Policy Language That Works in 2026
    2026/07/14
    In this episode, in a world where AI is making life-altering decisions faster than we can spell "accountability," figuring out what's actually ethical feels like decoding a glitchy algorithm. This episode cuts through the hype and hand-wringing to tackle the messy reality of building AI that doesn't screw people over.

    We unpack the real trade-offs between speed and safety, why bias keeps sneaking into "neutral" systems, and how companies (and regulators) are fumbling—or finally stepping up—their responsibility. You'll walk away with a clearer lens on the frameworks that actually work versus the ones that just sound good in a press release.

    Ready to stop guessing and start understanding? Hit play, then subscribe so you never miss an episode that makes the AI chaos a little less chaotic.

    📩 Have questions or want to share your experience? Reach out at ethical@senseofthisshit.com.
    💛 Join Our Supporters Club ($3 a month) 💛 Ad-free listening + early episodes — help keep independent media alive. Click Here: https://www.spreaker.com/podcast/ethical-ai-let-s-make-sense-of-this-sh-t--7076292/support
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    8 分
  • Shadow AI Tools: How to Audit What Your Team Already Uses
    2026/07/14
    In this episode, in a world where AI is making life-or-death decisions faster than regulators can blink, Ethical AI: Let's Make Sense Of This Sht cuts straight through the hype and hand-wringing to ask what "doing the right thing" actually looks like when the code ships.

    This episode digs into the real friction points—algorithmic bias that quietly screws over entire demographics, the privacy tightrope companies walk between useful data and creepy surveillance, and the accountability gaps that leave no one responsible when models go off the rails. You'll hear unfiltered takes on whether current ethics frameworks are toothless theater, how organizations can bake genuine safeguards into their pipelines without killing innovation, and why ignoring these issues now guarantees bigger headaches (and lawsuits) later.

    Ready to stop nodding along at buzzwords and start making sense of the mess? Hit play, then drop your own hot takes in the comments—we're listening.

    📩 Have questions or want to share your experience? Reach out at ethical@senseofthisshit.com.
    💛 Join Our Supporters Club ($3 a month) 💛 Ad-free listening + early episodes — help keep independent media alive. Click Here: https://www.spreaker.com/podcast/ethical-ai-let-s-make-sense-of-this-sh-t--7076292/support
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    8 分
  • Understanding AI Hallucination Risk: Review Steps Before Client
    2026/06/30
    In this episode, we cover Hallucinations. The conversation opens with: Welcome to Ethical AI : Let's Make Sense Of This Sh*t. I'm Morgan. Team leads and marketers who send AI generated drafts straight to clients face a clear problem. AI hallucination risk turns a fast draft into a liability when facts shift without warning. Listen for the key context, practical takeaways, and the most important points to carry forward.

    Welcome to Ethical AI : Let's Make Sense Of This Shit. I'm Morgan. Team leads and marketers who send AI generated drafts straight to clients face a clear problem. AI hallucination risk turns a fast draft into a liability when facts shift without warning. However, these errors often hide inside confident sentences that read well at first glance. For example, a report might invent a regulation date or misstate a competitor statistic, and the mistake travels straight to the client inbox. Meanwhile, guidance from the EU AI Act and NIST frameworks stresses human checks on outputs used in professional settings. The reality is that speed without review creates downstream fixes that cost time and trust. In other words, a short verification pass before delivery catches the issues while they remain internal.

    Subscribe for weekly explainers — no guru fluff, just tactics you can apply this week.

    📩 Have questions or want to share your experience? Reach out at ethical@senseofthisshit.com.
    💛 Join Our Supporters Club ($3 a month) 💛 Ad-free listening + early episodes — help keep independent media alive. Click Here: https://www.spreaker.com/podca...
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    9 分
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