Z-inspection: Towards a holistic and analytic process to assess Ethical AI
AI is becoming a sophisticated tool in the hands of a variety of stakeholders, including political leaders. Some AI applications may raise new ethical and legal questions, and in general have a significant impact on society (for the good or for the bad or for both). People motivation plays a key role here. With AI the important question is how to avoid that it goes out of control, and how to understand how decisions are made and what are the consequences for society at large. In this talk, I will present our ongoing research work on the definition of Z-inspection a holistic and analytic process to assess Ethical AI. This could be part of an Ethics by Design process, or if the AI has already been designed, it can be used to do an ethical sanity check, so that a certain AI Ethical standard of care is achieved. It can be used by a variety of AI stakeholders. I will also share our experience and lessons learned so far in creating and testing our process by assessing an existing AI product in healthcare (cardiology), and outline a number of open questions.