

Siliconsciousness: The Best Way to Promote AI Leadership May Not Be What You Think It Is
10 snips Jul 11, 2025
Camille Stewart Gloster, CEO of CAS Strategies and former Deputy National Cyber Director, dives into the complexities of AI leadership amid US-China competition. She discusses how regulations can actually drive innovation rather than stifle it, using examples from cybersecurity. The conversation explores the delicate balance between safety and innovation in AI, stressing the need for effective regulatory frameworks. Gloster also highlights the urgent necessity for global cooperation in AI regulation and the importance of investing in digital skills to keep pace with technological advancements.
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Guardrails Fuel Innovation
- Regulatory guardrails can enhance innovation, as seen in cybersecurity's zero trust architecture.
- Design constraints push engineers to creative, security-focused solutions rather than stifling progress.
Seatbelt Regulation Example
- Seatbelt regulations faced heavy opposition at first but ultimately saved lives and improved car safety.
- This example highlights how safety regulations can drive beneficial innovation and acceptance.
Regulation Balances Innovation and Safety
- Government must balance innovation with safety by providing guardrails that protect vulnerable populations.
- Without regulation, market incentives push companies to prioritize speed, risking security and safety.