Leveraging AI

Essay on Leadership Blindness on AI and Its Impact on the Digital and Human Transformation - Do We Know What We Need to Know?

In a digital revolution much, if not all, is about the unknown. Artificial Intelligence is the realm of the black box, the unexplainable even for the ones that should. So how can we trust what is not verifiable, transparent, foreseeable? How can the leaders lead when illiteracy prevails? How can we move forward? And more importantly do we even understand what moving forward means?

Panel: AI and Ethical Standards: Challenges of Implementation and Evaluation

While all organizations seek to conform to ethical standards, it is often difficult to find the right way to evaluate and implement them — particularly when it comes to rapidly developing technology such as machine learning and artificial intelligence. This session,  seeks to explain  ethical rules that are now recommmended  when designen developing and implementing AI in an organization to describe how organizations can self-evaluate and seek out bias within their implementations. 

This panel will examine. Five different ethical axes (1) well-being (2) accountability (3) transparency, (4) fairness, and (5) user data rights,

Key takeaways:

• Understand the social and ethical implications of machine learning and algorithms — and the potential false assumptions and biases that they perpetuate.
• Develop an ethical framework for the use of machine learning and algorithms that reflects values aligned with international human rights and an understanding of the concept of "well-being."
• Understand What would adherence to ethical standard look like in a real business setting