Responsible AI Governance involves ongoing monitoring and evaluation of AI systems to identify and address potential risks. This proactive approach helps organizations manage risks related to bias, security, and unintended consequences. But why is RAI Governance important and why does it matter? How can one get started when you want to build RAI Governance control functions and mechanisms in your organization? And what are the best-practices and tips for RAI governance? 

Dr. Ben Lange is a Research Group Lead in the Ethics of AI at the Ludwig Maximilians University of Munich and Munich Center for Machine Learning. He holds an Associate Researcher Position at the Oxford Uehiro Centre for Practical Ethics at the University of Oxford and a Visiting Research Fellowship at the Zentrum für Ethik und Philosophie in der Praxis. In the past, he was a Visiting Researcher at Google’s Responsible Innovation team. Ben received his PhD in Moral Philosophy from the University of Oxford. In his capacity as an ethics advisor and as a Senior Advisor at BABLAI, Ben has deep expertise in the whole suite of organizational ethics consulting, including AI ethics and digital ethics, corporate social and digital responsibility (CSR & CDR), and ethics and compliance.

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