The workshop will explore AI Governance, Compliance and Safety in Financial Services, with a focus on industrial experience (through the inclusion of practitioner and real-world case-studies).
Reliance on algorithms in FS is becoming ubiquitous. Indeed, soon there will be innumerable algorithms making decisions with minimal human intervention in FS. Indeed, scaling to problems beyond humans is a major point of using such algorithms in the first place. With this corporations are increasingly concerned about their algorithms causing major financial or reputational damage. A high-profile case includes Knight Capital’s bankruptcy (~$450M) by a glitch in its algorithmic trading system. In response, governments are legislating and imposing bans, regulators fining companies, and the Judiciary discussing potentially making algorithms artificial “persons” in Law.
As such there is an acute need for robust AI governance; under this must be captured two ends of the spectrum, namely legal compliance and engineering tools and solutions to address this. This workshop presents a series of panels and paper presentations that cover this spectrum: compliance, governance, auditing and safety. Each theme will be chaired by leading experts from academia and industry.
Broader stakeholders ranging from those working on policy and regulation, to industry practitioners and developers, will be interested. We also anticipate the nature and scope of the AI governance and frameworks presented will inform those interested in systems of governance and compliance to regulation/standards.