The Accountability Gap: Who is Responsible When AI Gets It Wrong?

About the Session

As artificial intelligence systems increasingly make decisions that affect lives, livelihoods, and public trust, the question of accountability has never been more urgent. When AI delivers a biased output, makes a harmful recommendation, or fails in a critical application, who bears the responsibility: the developer, the deploying organization, the data provider, or the regulator? This panel brings together experts in AI governance, law, ethics, and technology to unpack the complexities of liability in AI decision-making. Through real-world case studies, participants will explore frameworks for determining responsibility, closing accountability gaps, and ensuring that AI systems operate in ways that are both legally defensible and socially responsible.

Speakers

Enudeme Jonathan

CEO & Founder of Zummit Africa, Co-Founder of Data Rango.

Fatima-Bint Ibrahim

Network Roaming Specialist at Bayobab and Co-Lead for PyCon Ghana User Groups

Paschal Onuorah

Perplexity AI Business Fellow, Senior Data Engineer at StyleSeat, Co-Founder of Smart Fleet Technologies.

Sanath Chilakala

Forbes Technology Council Member; Director of Data & AI, NTT DATA

Sowmya Moni

Strategic Advisor | Investor; Author: 50/Fifty; Founder Director, WiBDIndia Foundation