Across the world, we are witnessing a centuries-old push and pull between innovation and compliance when it comes to AI. However, I have just returned from a presentation to the European Trilateral Commission and am feeling very inspired by the EU’s bold vision for AI.
It is true that at present the EU devotes much less capital to AI than the US, and I sincerely hope that this will change soon. I think the EU has a huge opportunity to step up its efforts to show the world how to enable domain experts to have more control over data and how it is used to train AI. I think the EU could show the world how to adopt holistic approaches to AI literacy that encompass multidisciplinary programs. This could show the world how to certify third-party auditors who could hold organizations accountable for malicious models.
For me, I feel like Europe is currently leading the charge in many ways in terms of AI governance, and I hope to see other countries follow suit. Europe’s commitment to integrating ethical principles into the development of AI is unprecedented. The focus is on human rights in terms of protecting privacy, promoting transparency and mitigating unwanted bias. And interdisciplinary collaboration is huge with programs like Horizon Europe and How to Change the World and the EU’s efforts to forge alliances with like-minded countries and organizations.
Responsible AI is not just about what we can build, but also why and how we build it. Diversity, equity and inclusion are at the heart of an AI innovation strategy, not only because it is the ethical path, but also because diverse perspectives lead to more creative problem solving, equitable access ensures broader societal impact and inclusive design reduces unwanted bias, creating technology that works for everyone.
Listen to the IBM Mixture of Experts podcast to learn more