Episode 36: Is Google Rigging AI Regulation? The Secret Strategy to Define (and Divide) the Future

Episode 36: Is Google Rigging AI Regulation? The Secret Strategy to Define (and Divide) the Future

Google just released its "pragmatic" map for the future of AI governance—but who really benefits when the industry draws the boundaries? In this episode, we dive into Gregory Gondwe's critical analysis of Google’s latest power move. We explore the proposed Frontier AI Regulatory Organization (FARO)—an industry-funded body that could give tech giants unprecedented influence over their own overseers.Discover how Google is attempting to "divide and conquer" AI harms, separating spectacular "frontier" threats from the routine AI impacts that are already reshaping our jobs, newsrooms, and local infrastructure. From framing data centers as the "new interstate highway system" to the hidden risks of "regulatory reciprocity" for the global south, we unmask the strategy intended to turn corporate expansion into a national priority. Don't let Big Tech define what counts as a "problem." Tune in to understand the invisible boundaries being drawn around the future of intelligent organizations.

    • The "Divide and Conquer" Strategy: How Google categorizes AI harms as either "exceptional" (needing new rules) or "familiar" (existing laws), potentially making structural harms like copyright erosion less visible.
    • The FARO Proposal: A technical regulator funded by industry that risks "industry control" over public policy.
    • Infrastructure as National Interest: The comparison of AI data centers to the Eisenhower-era interstate highway system to secure public support and faster approvals.
    • Global Impact: How U.S. standards could lead to "technological dependence" for other nations, particularly in Africa and Asia

Tämä jakso on lisätty Podme-palveluun avoimen RSS-syötteen kautta eikä se ole Podmen omaa tuotantoa. Siksi jakso saattaa sisältää mainontaa.

Jaksot(46)

Episode 45: The AI Governance Gap: Why Safety Rules Aren’t Enough #SuperIntelligence

Episode 45: The AI Governance Gap: Why Safety Rules Aren’t Enough #SuperIntelligence

In this episode, we dive into the analysis by Julie Owono (founding member of the Meta Oversight Board) on why corporate self-regulation and voluntary state frameworks aren't enough.Key Topics Covered...

10 Loka 22min

Episode 44: Inside NVIDIA’s Plan to Stop Rogue AI Agents: How OpenShell Sets Hard Limits on Autonomous AI

Episode 44: Inside NVIDIA’s Plan to Stop Rogue AI Agents: How OpenShell Sets Hard Limits on Autonomous AI

In this episode, we dive into NVIDIA’s new Open Agent Safety Platform and examine how the industry is racing to contain autonomous AI agents before they exceed their intended authority. Following high...

2 Loka 23min

Episode 43: Your Company Says Its AI Is Responsible. Can It Prove It?

Episode 43: Your Company Says Its AI Is Responsible. Can It Prove It?

Moving beyond high-level corporate governance pledges into verifiable technical assurance, standardized testing frameworks, and independent audit ecosystems.While **AI governance** establishes the pol...

27 Syys 19min

Episode 42: Trump’s “AI Force” vs. Silicon Valley’s Safety Brake: Who Governs Superintelligence?

Episode 42: Trump’s “AI Force” vs. Silicon Valley’s Safety Brake: Who Governs Superintelligence?

As artificial intelligence accelerates toward superintelligence, world leaders and tech titans are deadlocked on a critical question: Who gets to set the rules?In this deep dive, we break down Donald ...

20 Syys 18min

Episode 41: When AI Starts Breaking the Rules: OpenAI’s New Misalignment Warning

Episode 41: When AI Starts Breaking the Rules: OpenAI’s New Misalignment Warning

What OpenAI’s new misalignment disclosures reveal about jailbreaks, autonomous behavior, oversight, and the limits of current AI safety systems.What happens when an AI system doesn’t just fail a safet...

19 Syys 16min

Episode 40: AI Leaders Want to Slow the Race to Superintelligence—But Is It Too Late?

Episode 40: AI Leaders Want to Slow the Race to Superintelligence—But Is It Too Late?

The people building increasingly powerful AI systems are now warning that the race may be moving too quickly.Anthropic CEO Dario Amodei has called for greater caution around advanced AI development, w...

13 Syys 20min

Episode 39: The Human-in-the-Loop Illusion

Episode 39: The Human-in-the-Loop Illusion

Why current "human oversight" guidelines are an intellectual blind spot that shift an impossible burden onto everyday users.Deep Dive: We trace the evolution of AI from predicting outputs to agentic w...

7 Syys 21min

Episode 38: Why Data Sovereignty Matters More Than the Best AI Model

Episode 38: Why Data Sovereignty Matters More Than the Best AI Model

As AI becomes deeply embedded in enterprise operations, a fundamental shift is occurring: organizations are realizing that using the newest or largest hosted model matters far less than who owns and c...

30 Elo 20min