Pages tagged: Risk

Responsible AI with Maria Axente

In her role as Responsible AI and AI for Good Lead at PwC, Maria advises clients and partners across industry, academia, governments, and more, on how to harness the power of AI in an ethical and responsible manner. She has played a crucial part in the development and set-up of firms' AI Center of Excellence, AI strategy and the Responsible AI toolkit, a suite of products dedicated to operationalisation ethics in AI. Maria is a globally recognised AI ethics expert, a Advisory Board
member of the UK Government All-Party Parliamentary Group on AI and ORBIT, vice chair of techUK Data and AI leadership committee and member of BSI/ISO & IEEE AI standard groups.

Maria is a passionate advocate for gender diversity, children and youth rights in the age of AI. Recently she was named an expert advisor for UNICEF #AI4Children and WEF Generation AI programmes.

Twitter: https://twitter.com/maria_axente
LinkedIn: https://www.linkedin.com/in/mariaaxente/


AI regulation with Lofred Madzou

Lofred Madzou is a Project Lead for AI at the World Economic Forum, where he oversees global and multistakeholder AI policy projects. He is also a research associate at the Oxford Internet Institute where he investigates various methods to audit AI systems.

Before joining the Forum, he was a policy officer at the French Digital Council, where he advised the French Government on technology policy. Most notably, he has co-written chapter 5 of the French AI National Strategy, entitled "What Ethics for AI?”. He has an MSc in Data Science and Philosophy from the University of Oxford.


Responsible AI Research with Madhulika Srikumar

Madhulika Srikumar is a program lead at the Safety-Critical AI initiative at Partnership on AI, a multistakeholder nonprofit shaping the future of responsible AI. Core areas of her current focus include community engagement on responsible publication norms in AI research and diversity and inclusion in AI teams. Madhu is a lawyer by training and completed her graduate studies (LL.M) at Harvard Law School.

Managing the Risks of AI Research: Six Recommendations for Responsible Publication