Summary – We all want artificial intelligence to be responsible, trustworthy, and good… the question is how to get beyond principles and check lists. In this paper I will argue for the importance of the data used in training machines, especially when it comes to avoiding bias. Further, I will argue that there is a role for humanists and others who have been concerned with the datafication of the cultural record for some time. Not only have we traditionally been concerned with social, political and ethical issues, but we have developed practices around the curation of the cultural record. We need to ask about the ethics around big data and the creation of training sets. We need to advocate for an ethic of care and repair when it comes to digital archives that can have cascading impact.
- Speaker: Geoffrey Rockwell
- Title: The Ethics of Datafication and AI
- Time: May 26 (Wednesday), 16:00-17:00
- Location: https://lnu-se.zoom.us/j/6246053108
About the speaker – Geoffrey Rockwell is a Professor of Philosophy and Digital Humanities, Director of the Kule Institute for Advanced Study and Associate Director of AI for Society signature area at the University of Alberta. He publishes on textual visualization, text analysis, ethics of technology and on digital humanities including a co-authored book Hermeneutica from MIT Press (2016). He is co-developer of Voyant Tools (voyant-tools.org), an award winning suite of text analysis tools. He is currently the President of the Canadian Society for Digital Humanities.