AI Ethics: 8 global tech companies commit to apply to UNESCO’s Recommendation

Temps de lecture: 2 min |February 6, 2024 à 1:50 PM

GSMA, INNIT, Lenovo Group, LG AI Research, Mastercard, Microsoft, Salesforce and Telefonica signed a ground-breaking agreement to build more ethical AI. The companies will integrate the values and principles of UNESCO’s Recommendation on the Ethics of AI when designing and deploying AI systems

Download the companies’ letter of commitment:

link

Recommendation

UNESCO’s Recommendation on the Ethics of Artificial Intelligence was the world's first, and remains its only normative framework on AI. In the past two years, demonstrable progress has been made towards implementing this framework. Today, more than 50 countries are now actively engaged in its implementation and multilateral cooperation has increased considerably.

Since the adoption of the Recommendation, UNESCO has also been advancing collaboration with the private sector, leading to the establishment of a Business Council for Ethics of AI, co-Chaired by Microsoft and Telefonica. The Business Council is committed to strengthening technical capacities in ethics and AI, designing and implementing the Ethical Impact Assessment tool mandated by the Recommendation on the Ethics of AI, and contributing to the development of intelligent regional regulations

Agreement

The agreement was signed in Kranj, Slovenia at the 2nd UNESCO Global Forum on AI. It compels the companies to fully play their role in guaranteeing human rights in the design, development, purchase, sale, and use of AI. This is the first time that companies have engaged with the United Nations in this area.

It states that due diligence, must be carried out in order to meet safety standards, to identify the adverse effects of AI, and timely measures taken to prevent, mitigate, or remedy them, in line with domestic legislation. The agreement also notes that ex-ante testing, (testing before a new AI system is released onto the market) is essential. But given the fast evolution of AI systems already on the market, it also calls for the development of ex-post (post-deployment) risk assessments and mitigation practices.