The piece emphasizes that the development of trustworthy AI requires time, strong checks and balances, effective guardrails, and a genuine desire to benefit all of humanity. It concludes by stating that achieving trustworthy AI is a marathon, not a sprint, but is mission-critical to avoid another AI winter.
Key takeaways:
- 2024 is the year that trust in AI becomes mission-critical due to a string of AI fails, highlighting the need for effective guardrails and comprehensive rules like the EU AI Act and Biden’s AI Executive Order.
- Self-regulation in AI has proven to be ineffective, with examples like OpenAI and LAION 5B showing that unbridled techno-optimism coupled with immature privacy and risk management practices can facilitate abuse and perpetuate harm.
- Regulation is necessary to ensure shared prosperity from AI innovation, as opposed to wealth concentration in the hands of the AI industry, and to prevent AI harms that disproportionately impact marginalized, underserved, and over-surveilled communities.
- The EU and the White House are introducing stringent transparency and accountability obligations for AI, including risk assessments, conformity assessments, and audit requirements for impactful AI uses, raising the bar in procurement and R&D.