This might just be the most interesting and thought-provoking episode of Leaders of Analytics yet. Why?

Without even recognising it, you make hundreds of ethical decisions every day. Some of these decisions you probably don’t even recognise as being grounded in ethical principles because they are so ingrained in your subconscious.

AI on the other hand, doesn’t make decisions based on ethics, unless ethical behaviour is somehow picked up in the training data. Therefore, we must make AI ethical by design, but that is not easy.

Many of the ethical dilemmas arising from AI are difficult to solve, because the problems are so novel in a human context. Yet we all need to get used dealing with these ethical dilemmas at scale as we implement AI in our business operations.

To understand the unwieldy world of ethical AI, I recently spoke to James Brusseau who is a philosopher at Pace University, specialising in AI ethics.

His academic research explores the human experience of artificial intelligence in the areas of privacy, freedom, authenticity and personal identity and he works with organisations around the world to develop ethical AI applications.

In this episode of Leaders of Analytics, we discuss:

• What AI ethics is and why it’s important
• The most common dilemmas or challenges we face when it comes to AI ethics
• Whether AI driven curation of information is a good thing or a bad thing
• How we can develop a framework for dealing with ethical dilemmas at scale
• How governments might regulate AI or introduce other incentives to achieve ethical AI by design
• How leaders can get prepared for managing and governing the ethical implications of using AI in their operations, and much more.