Part 8 explores the essential context for practitioners: the opportunities, the pitfalls, the various types of decisions that they will be contributing to – and advising on – that will impact their boards, colleagues, consumers and stakeholders at large.
Read on for:
A “watch list” of key data risks including the tech legal view on GDPR and why those “Why?” and “Should we?” questions should be high on your board agenda.
A dissection of algo use in banks, how and why “robust and transparent algorithm assurance is on the horizon”.
A survey view of current and evolving AI regulation, covering needs, ongoing regulatory measures, and issues yet to be grappled with like questions of liability.
A scholarly examination of this world of “newfound risks” and the risk-based regulation approach. Why are knowledge, insights and data from all affected actors – industry, government, tech firms, academia and consumers – so crucial in enabling a forward-looking regulatory response to AI?
A deep dive into fraud, and the ways AI technologies are being used in internal and external audit to transform these essential processes.
An informed analysis of the Why?, the What? and the How? of how revolutionary advances in AI are rapidly closing the gap between legal and regulatory requirements – and enabling technology.
The case not for more than simply generic metrics ...
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