- This event has passed.
EVIDENCE SESSION: CORPORATE DECISION MAKING (Enterprise Adoption of AI) – Best practice guidelines for AI adoption (ONLINE)
May 11 @ 5:30 am - 7:00 pm
All-Party Parliamentary Group on Artificial Intelligence
EVIDENCE SESSION: CORPORATE DECISION MAKING (Enterprise Adoption of AI) – Best practice guidelines for AI adoption
Register – LINK HERE – THIS EVENT HAS MOVED ONLINE
On behalf of the APPG AI Chairs, Stephen Metcalfe MP and Lord Clement-Jones CBE, and the Secretariat at Big Innovation Centre, we would like to invite you to our Evidence Meeting: CORPORATE DECISION MAKING (Enterprise Adoption of AI) – Best practice guidelines for AI adoption. This Evidence Meeting has been organised with the ICAEW, who’s extensive work on the future of AI in accountancy, business and corporate finance includes the detailed research report AI in Corporate Finance (AI in Corporate Advisory).
Questions to inspire:
- How might corporate boards and company advisers ensure the responsible implementation of AI-based technologies and ‘data governance’ that help companies to make strategy, investment and M&A decisions?
- What should company directors take into consideration when deciding whether/how to implement AI-based technologies for ‘augmented decision-making’ about investment?
- What are the most important corporate governance implications of the introduction of such technologies to decision-making and appropriate ‘data governance’?
- How can AI-based technologies be utilised to retain companies’ competitiveness when the world economy recovers from the Covid crisis?
- Dr Christine Chow, Head of Asia and Global Emerging Markets, Hermes Investment Management
- David Petrie, Head of Corporate Finance, ICAEW
- Naomi Climer CBE, Co-Chair, Institute for the Future of Work
- Charles Radclyffe, Head of AI, Fidelity International
- Dr Zoë Webster, Director – AI and Data Economy, Innovate UK
- Sanu de Lima, Deputy Director, Corporate Governance, Responsibility & Diversity Business Frameworks Directorate, BEIS
- Jan Chan, UK&I TAS Chief Innovation Office: Associate Partner: Business Modelling and Analytics, EY