The panel will discuss the ethical challenges arising as artificial intelligence permeates our lives.
Many people believe that we need to open AI code and "training data" in order to be transparent about the important decisions being made when it comes to AI tools today. But, to achieve that level of transparency, we take the risk that these tools will be manipulated or abused.
If machine learning continues to progress, we'll be able to introduce and enforce ethics rules that regulate the development, training and use of AI tools - or, our "electronic children" - and maybe even reinforce these rules. Would these rules be universally accepted by all? Would groups or communities not bound by these rules break them to gain economic or political advantages?
Join us as we embark on this discussion with panelists:
Dr. Darren Abramson, Department of Philosophy, Dalhousie University
Dr. Fosca Giannotti, Director, Research at the Information Science and Technology Institute “A. Faedo” of the National Research Council, Pisa, Italy
Dr. Stan Matwin, Director, Institute for Big Data Analytics, Dalhousie University