In this solutions-oriented panel, we will reflect on the operational challenges for implementing AI governance, including EU AI Act compliance. Specifically, we will highlight some of the lessons that can be learnt from sectors such as Finance and Health where regulation of automated processes and algorithmic systems is established practice.
- Model Risk Management is an established requirement in Financial Services, what are the key practices that can be transferred to AI governance in other sectors?
- How will the Harmonized Standards for the EU AI Act build on existing sectoral standards in areas such as medical devices?
- Looking beyond purely technology focused domains, what can we learn from efforts around codes of practice and business ethics, especially realted to discriminatory bias, to help operationalize processes to mitigate AI bias?
- One challenge for AI governance is the trans-borders nature of many AI services. What can we learn from other sectors to help guide how to faciliate mutual recognition of regulatory compliance practices?
