WASHINGTON – Former President Donald Trump is pushing back against growing alarms about artificial intelligence, accusing industry figures – including the leader of AI firm Anthropic – of overstating risks and stifling innovation. His remarks arrive as lawmakers return to Washington, where AI policy, oversight and other high-stakes issues are expected to loom on the congressional agenda. This live update will follow developments on Trump’s comments and the unfolding legislative response on Capitol Hill.
Trump pushes back on AI fears and urges bipartisan oversight with enforceable safety standards and clearer liability rules
In a forceful rebuttal to mounting public anxiety over artificial intelligence, the former president argued that alarmism risks slowing innovation and that the priority for Washington should be practical, enforceable rules rather than rhetoric. He pressed for bipartisan oversight to shepherd a new regulatory framework, calling for clearer liability rules to hold companies accountable when systems cause harm and for safety standards that can be inspected and enforced. He also took aim at the head of Anthropic, asserting that industry leaders who amplify worst-case scenarios are doing a disservice to voters and lawmakers trying to craft workable policy.
• Enforceable safety standards: mandatory audits, third-party verification, and certification for high-risk systems.
• Clearer liability rules: defined legal pathways for victims and predictable obligations for developers and deployers.
• Bipartisan oversight: joint congressional committees and scheduled hearings to avoid partisan whiplash.
• International coordination: align standards with allies to prevent regulatory arbitrage.
As Congress reconvenes in Washington, Republican calls for measurable guardrails and Democratic demands for consumer protections set the stage for a high-stakes legislative sprint to translate those priorities into law.
Criticism of Anthropic leader escalates as experts demand independent audits, full disclosure of training data and mandatory red team testing
Pressure on Anthropic’s executive ranks mounted this week as a coalition of AI researchers, former regulators and industry safety experts publicly called for immediate, verifiable steps to address opaque model development practices. Their demands – framed as non-negotiable prerequisites for continued deployment and collaboration – centered on three priorities: independent third‑party audits, full disclosure of the datasets used to train large models and mandatory, documented red‑team testing before any new release. Those stakeholders warned that without these safeguards, the company risks regulatory intervention, lost partnerships and eroded public trust.
The chorus of critics also pressed Congress and federal agencies to define clear standards: time‑bounded audit windows, certified auditors with no conflicts of interest, and a public register of testing outcomes and mitigation measures. Their recommended framework included the following key elements for immediate adoption:
- Independent audits with published methodology and findings
- Training data transparency summaries and provenance reporting
- Mandated red teams with adversarial scenarios and remedial timelines
| Requirement | Short impact |
|---|---|
| Third‑party audits | Increased accountability |
| Data disclosure | Better risk assessment |
| Red‑team testing | Fewer surprise failures |
As Congress returns to DC lawmakers face an AI policy crossroads and are urged to fund oversight agencies, enact transparency laws and certify high risk systems
With the Capitol back in session, lawmakers confront urgent decisions on artificial intelligence policy as advocates, regulators and civil-society groups press for concrete action before another legislative calendar slips away. Committee chairs are signaling hearings and budget fights that could direct millions toward watchdogs such as the Federal Trade Commission and agency-led standard-setting at NIST, while senators and representatives from both parties are weighing legislative fixes. Key demands on the table include:
- Robust funding for oversight agencies to hire technical staff and monitor deployments
- Transparency laws forcing disclosures about training data, risks and safety testing
- Certification regimes for systems deemed high-risk, with independent audits and sunset reviews
The political calculus is complex: industry lobbyists warn that heavy-handed rules could stifle innovation, while privacy advocates warn that delay will compound harms. Expect a mix of bipartisan procedural maneuvers, agency budget amendments and targeted bills that aim to thread the needle – offering guardrails for systems deemed dangerous without imposing one-size-fits-all mandates. As lawmakers map priorities, staff briefings and expert testimony will shape whether Congress moves quickly to codify transparency and certification standards or settles for incremental oversight funding and interim guidance.
Closing Remarks
As lawmakers return to Washington, the clash over artificial intelligence is shifting from debate to potential oversight, with both policymakers and industry leaders preparing for hearings and legislative pushes. In recent updates, former President Trump pushed back against warnings about AI and singled out the leader of Anthropic, highlighting how the issue has become a political and regulatory flashpoint. Expect more statements from elected officials, tech companies and watchdogs in the coming days as Congress gets back to work and scrutiny of the sector intensifies. We will continue to monitor developments and update this live coverage as events unfold.
