Canada | May 1st, 2024 – AI’s intelligence is directly impacted by the diversity of talent responsible for examining the datasets it trains on. Leveraging past practices is not sufficient for ensuring a bright future; proactive measures are needed to address the explosion of data bias challenges. Who is accountable for ensuring data accurately represents an organization’s diversity, equity, and inclusion vision?
How we show up at home and at work sends a ripple of either positive or negative energy into the world we interact in. Research has shown that happiness is the precursor to success, not the result of success. Experts like Harvard researcher, Shawn Anchor, writes about his research on over 1,600 Harvard students and Fortune 500 companies world-wide in his acclaimed book, The Happiness Advantage, that further validated that Happiness First drives productivity, safety, and accelerates growth.
The Why Corporate Purpose And AI Ethics Must Be A Leadership And Risk Management Priority blog series has been exploring the meaning of corporate purpose and looking at the importance of AI Ethical frameworks, and evolving audit practices to improve risk management practices, and advance digital literacy foundations to support the evolution to intelligent enterprises.
This fourth blog in the Why Corporate Purpose And AI Ethics Must be A Leadership And Risk Management Priority blog series identifies AI corporate purpose questions, although not exhaustive, these questions can guide board directors and CEOs to improve their digital technology operational practices and manage risk more effectively.
In today’s challenging world, there is an imperative to advance Corporate Purpose leadership at all levels of an organization. This blog, by Dr. Cindy Gordon, introduces corporate purpose and AI ethics and introduces the challenges given the decline of human happiness, and the importance of increasing risk management functions needs to ensure that new operating frameworks link corporate purpose to ethical AI, and happiness economics.