We need to measure progress in good AI, says Partnership on AI CEO Rebecca Finlay
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
Governments and other stakeholders need to agree on “common rules of the road” for artificial intelligence, but that doesn’t have to come at the cost of innovation, says the boss of the non-profit advocating for responsible AI, at last week’s UN gathering in Geneva.
The United Nations first Global Dialogue on AI Governance is done and dusted. The 4,000-plus participants – government, big tech, research and civil society representatives – who attended the conference in Geneva last week have moved on.
But the real work begins now, and starts with being able to define and measure what “good artificial intelligence” practices looks like, according to Rebecca Finlay, the chief executive of Partnership on AI (PAI). The Canadian non-profit coalition brings together over 150 organisations in 17 countries, including academic institutions, media, and technology companies such as Meta and Salesforce, to ensure developments in AI advance positive outcomes for people and society. Last week, it launched two initiatives to benchmark progress on responsible AI.
Finlay, who co-chaired one of the Dialogue’s four key thematic panels on building safe, secure and trustworthy AI, and has advised on UN initiatives such as its Global Digital Compact, debriefed Geneva Solutions on last week’s outcomes.
Geneva Solutions: What were the key things to come out of the panel on AI safety you co-chaired?
Rebecca Finlay: There were three or four that I would highlight. Firstly, we need an open, inclusive and independent evidence base to inform both policymakers and the public, with close coordination between the UN’s International Scientific Panel on AI with other international assessments, for example, the upcoming Global South AI Safety report. Secondly, interoperability – the railroad between different AI models and systems – requires shared frameworks and common standards, grounded in universal principles such as human…
