We need to measure progress in good AI, says Partnership on AI CEO Rebecca Finlay

https://genevasolutions.news/science-tech/we-need-to-measure-progress-in-good-ai-says-partnership-on-ai-ceo-rebecca-finlay

Publish Date: 2026-07-14 23:33:00

Source Domain: genevasolutions.news

Here is a summarized unordered list based on the article:

Need for Standardization and Governance: Governments and stakeholders must agree on common “rules of the road” for AI, without stifling innovation. Rebecca Finlay, CEO of the Partnership on AI (PAI), emphasizes the need for open, inclusive and independent evidence to inform policymakers and the public.
Shared Benchmarks and Progress Monitoring: Finlay highlights the launch of two initiatives by PAI to create benchmarks for responsible AI: a progress hub and an annual independent report. These aim to outline good AI practices and measure progress to ensure it serves the public interest.
Challenges of Measuring AI Progress: Creating reliable metrics for AI governance is challenging as it involves coordinating across diverse sectors and ensuring shared metrics that make impacts understandable and comparable. PAI looks at established sectors for analogies and guidelines.
Parallels with Road Safety: Drawing parallels with road safety, PAI champions the idea that safety and innovation for AI must go hand in hand, similar to well-established guidelines in safer road transport sectors.
Avoiding Greenwashing in AI Standards: Care is needed to avoid confusion and greenwashing in AI standards, similar to observed issues in sustainable finance, by ensuring sustainable and inclusive standards.
Role of UN in AI Governance: UN initiatives like the high-level advisory panel on AI and the Global Digital Compact highlight the importance of the UN’s role in AI governance, with continued investment needed to build necessary public policy infrastructure.
Tech Companies’ Participation in Governance: Technological companies are actively engaging in governance discussions. There is a multistakeholder conversation taking place around AI safety and governance.