Kirsten Rulf is a Partner and Associate Director in BCG’s Berlin Office. Until April 2023 she was the Head of Digital and Data Policy at the Federal Chancellery of Germany and senior advisor to former German Chancellor Angela Merkel and current Chancellor Olaf Scholz. During her time at the Federal Chancellery, she was responsible for negotiating the upcoming EU legislative frameworks on digital transformation, among them the EU AI Act, Data Act, Digital Services Act and Digital Markets Act. Prior to her time in government, Kirsten Rulf taught AI and Compliance at Harvard Law School and was a Fellow at Harvard’s Berkman Klein Center for Internet and Society. In addition to her work at BCG, Kirsten Rulf now teaches at Yale University and is a 2023 UC Berkeley Tech Policy Fellow. She holds an MPP from Harvard Kennedy School, two M.A. degrees from Oxford University and was a 2022 Yale World Fellow.
Roundtable 2
Invite-Only
Artificial intelligence (AI) presents the opportunity to revolutionise financial services, and change how operations, risk management, and customer engagement can be conducted. With most global financial institutions already embracing AI, the industry is poised for transformative change.
This roundtable promises a dynamic exchange of ideas between top regulators and leading financial institutions from Asia and Europe, focusing on the latest trends, challenges, and opportunities surrounding AI and its regulation on a global scale. Participants will delve into the dual perspectives: that of financial institutions striving to embrace this technology as swiftly as possible, and the regulator's viewpoint on the burgeoning demand for specific AI regulation.
Two key questions will be explored by participants:
- What can financial institutions expect from regulators as they navigate their AI journeys (including both hard laws and best practice guidelines)?
- How can we create the right conditions to catalyse responsible AI innovation and experimentation?
Through this discussion, we aim to uncover common ground and formulate a path that encourages and supports AI innovation and experimentation in financial services, while simultaneously establishing the necessary safeguards and mechanisms to ensure ethical and responsible AI practices.
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