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Secure Talk PodcastSecure Talk reviews the latest threats, tips, and trends on security, innovation, and compliance. Author: Justin Beals
Secure Talk reviews the latest threats, tips, and trends on security, innovation, and compliance. Host Justin Beals interviews leading privacy, security and technology executives to discuss best practices related to IT security, data protection and compliance. Based in Seattle, he previously served as the CTO of NextStep and Koru, which won the 2018 Most Impactful Startup award from Wharton People Analytics. He is the creator of the patented Training, Tracking & Placement System and the author of Aligning curriculum and evidencing learning effectiveness using semantic mapping of learning assets, published in the International Journal of Emerging Technologies in Learning (iJet). Justin earned a BA from Fort Lewis College. Language: en Genres: News, Tech News, Technology Contact email: Get it Feed URL: Get it iTunes ID: Get it |
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AI Is Worth 5% of Its Hype? AGI Myths, Machine Bias & Predictive AI’s Untapped Value
Episode 264
Tuesday, 3 November, 2026
The trillion-dollar AI story is about autonomy. The real value — in fraud detection, security triage, and risk scoring — is hiding in the AI almost nobody is talking about.Most machine learning models built to be deployed never get deployed. Meanwhile, budgets pour into generative AI pilots that dazzle in the demo and stall in production. Data scientist and author Eric Siegel estimates the real value of today's AI may be closer to 5% of what current valuations imply- still enormous, but a lot of disillusionment waiting to happen.If you lead security, GRC, compliance, or data teams — or you've been told to "do AI" without a clear business case — this conversation is your reality check.📖 Eric's book: The AI Playbook: Mastering the Rare Art of Machine Learning Deployment. Chapters00:00 Predictive and generative AI as complementary tools02:33 What predictive AI does that generative AI does not06:32 How hype around intelligence and agents creates scope creep09:16 Risk scores and human review for more reliable automation11:22 Why model accuracy is not the same as business value13:30 BizML’s six-step path from project idea to deployment16:08 The second wow: proving operational impact19:20 AGI claims, uncertainty, and the limits of prediction23:14 AI investment, business sustainability, and the bubble27:08 Why predictive and generative AI work better together31:35 Ethics, protected classes, and machine bias37:20 Why hiring models cannot repair workplace culture39:08 How to interpret probabilities without mistaking them for certaintySOURCES & REFERENCES• The AI Playbook by Eric Siegel → https://mitpress.mit.edu/author/eric-siegel-39891/• Gooder AI (Eric's startup) → https://gooder.ai• Eric's op-eds on discriminatory models → https://civilrightsdata.com• Cory Doctorow, coiner of "enshittification" → https://pluralistic.net• ProPublica, "Machine Bias" → https://www.propublica.org/article/machine-bias-risk-assessments-in-criminal-sentencing• EEOC guidance on AI in hiring → https://www.eeoc.gov/sites/default/files/2024-04/20240429_Employment%20Discrimination%20and%20AI%20for%20Workers.pdf• Nate Silver's 2016 election forecast → https://www.youtube.com/watch?v=nVNEz0W-Ud4THE STORY▶ The first "wow" is easy. The second is rare.AI pilots knock everyone's socks off — and then die before deployment. Siegel argues that teams obsess over technical benchmarks and lose sight of business outcomes: "It's like being more excited about the rocket science than the launch of the rocket."▶ AGI and the autonomy sales pitchUsing a chatbot with a human in the loop is valuable. But that's not what's being sold. "AGI is, by definition, the ultimate autonomous story," Siegel says — and that's where the hype outruns the technology.▶ The mirror problemStrip out a protected-class column and a model can still discriminate through proxies. Siegel revisits ProPublica's recidivism investigation, which found higher false-positive rates for Black defendants. Justin shares how a hiring model exposed a company quietly weeding curiosity out of its own culture.🔐 SecureTalk is brought to you by Strike Graph — compliance and security that scales → https://strikegraph.comABOUTGuest: Eric Siegel is a 35-year machine learning veteran, a former Columbia University professor, founder of Machine Learning Week, co-founder of Gooder AI, and author of The AI Playbook and Predictive Analytics.Host: Justin Beals is the founder and CEO of Strike Graph and a career builder of machine learning products in education, hiring, and security.📄 Full transcript: https://www.strikegraph.com/secure-talk-podcast/ai-is-worth-5-of-its-hype-agi-myths-machine-bias-predictive-ais-untapped-value🔔 Subscribe for weekly conversations on cybersecurity, compliance, and the tech reshaping risk.#AIhype #PredictiveAI #MachineLearning #Cybersecurity #AIgovernance
