The AI Index 2022 Annual Report

AI development is increasingly concentrated among well-resourced organizations: The report documents that technical AI performance advances are increasingly driven by a small number of well-funded private companies and institutions, raising concerns about who controls AI development and whose values are embedded in these systems.

Global AI governance is fragmented and rapidly evolving: The report's analysis of AI legislation across 25 countries reveals inconsistent regulatory approaches, suggesting that responsible AI governance remains a work in progress without clear international coordination or standards.

Ethics metrics for AI are still underdeveloped: The new chapter on technical AI ethics metrics indicates that while the field recognizes the importance of measuring responsible AI practices (like fairness and transparency), standardized, reliable measurement tools remain limited—making it difficult to objectively assess whether AI systems are actually being deployed responsibly.

Robotics raises distinct ethical challenges: The new robotics researcher survey highlights that as AI systems move into physical environments and autonomous decision-making, new ethical considerations emerge beyond those in software-only applications, requiring specialized attention from policymakers and developers.

Data quality and transparency gaps persist: The report's reliance on "self-collected data and original analysis" suggests that comprehensive, independently-verified information about AI development and deployment remains scarce, which hampers efforts to hold the AI industry accountable for responsible practices.