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Category: AI Ethics & Policy

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  • AI Ethics & Policy

Anthropic Launches Political Action Committee as AI Firms Race to Shape Their Own Regulation

  • Neelesh Pednekar
  • April 4, 2026
  • 0

The Claude maker has formed a PAC to influence AI policy in Washington, signaling that the battle for AI dominance is moving from the lab to the legislature. For Indian tech leaders, this is an early warning that compliance requirements could shift based on who wins the lobbying war.

  • AI Ethics & Policy

AI Safety Isn’t Optional Anymore: Why Enterprise Buyers Are Demanding Proof

  • Neelesh Pednekar
  • April 3, 2026
  • 0

A wave of new research and industry frameworks is pushing AI vendors to prove their systems won’t hallucinate, mislead, or behave unpredictably. For CIOs evaluating AI agents, safety credentials are becoming as important as feature lists.

  • AI Ethics & Policy

Anthropic’s Leak Cleanup Took Down Thousands of GitHub Repos — Here’s What Went Wrong

  • Neelesh Pednekar
  • April 2, 2026
  • 0

A DMCA takedown request from Anthropic to remove leaked source code accidentally pulled thousands of unrelated GitHub repositories offline. The incident reveals how even well-funded AI companies can stumble when protecting intellectual property.

  • AI Ethics & Policy

Mercor Breach Exposes the Hidden Risk Sitting in Your AI Stack

  • Neelesh Pednekar
  • April 1, 2026
  • 0

A cyberattack on AI hiring platform Mercor, traced to vulnerabilities in the open-source LiteLLM project, is forcing CIOs to confront an uncomfortable truth: the tools connecting your systems to AI models may be your weakest link. The incident underscores why AI supply chain security deserves the same scrutiny as your core infrastructure.

  • AI Ethics & Policy

Anthropic’s Pentagon Friction Reveals the Hidden Cost of AI Partnerships

  • Neelesh Pednekar
  • March 31, 2026
  • 0

Tensions between Anthropic and the Pentagon expose a fundamental truth about AI deployment: technical capability matters less than cultural alignment. For Indian enterprises eyeing AI startups for sensitive projects, this clash offers a cautionary playbook.

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