Addressing and mitigating some of the perceived risks of Artificial Intelligence technologies requires ethical and legal concerns to be an integral part of the design and operation of HI systems. Values such as transparency, accountability, trust, privacy and fairness can no longer be relegated to regulations that apply after system’s deployment.
We develop methods to include ethical, legal and societal considerations into the design process (“ethics in design”) and into the performance (“ethics by design”) of HI systems.
Methods and Practices for Responsible Research in Hybrid Intelligence
Responsible research is about accounting for potential societal effects that research activities or outcomes may have. With the increasing uptake of AI in society it becomes more and more important to take these effects into account in how we do research and what we investigate. This holds even more so in the context of Hybrid Intelligence, considering the inherent role of people in these systems.
In the HI project, we have been investigating and developing Responsible Research methods and practices since the start of the project. Here we share some of our developed materials. You are welcome to use and build on this work (under CC BY 4.0 license). Please contact Birna van Riemsdijk for questions and further exchanges on this topic, we are very interested in learning about your experiences!
- Research practices: a list of five Responsible Research Practices for HI (collaboration with Bart Verheij)
- Socio-technical reflection:
- Exercises to allow researchers to reflect on responsibility aspects of their own and others’ research. (collaboration with Rineke Verbrugge)
- Instructions for the ProtoStrategos game to make participants aware of ethical dilemmas and hard questions. (HI contact: Virginia Dignum)
- Personal reflection: workshop setup to allow researchers to reflect on their positionality and connections with the notion of epistemology, and on values they would like to see embedded in HI research and systems (workshop setup, slides of introductory talk; collaboration with Roel Dobbe and Michael Dale).
Read about our course on Responsible and Trustworthy AI to explore the intersection of technology, ethics, and society.
Stay tuned for new dates and upcoming sessions.
Learn about cutting-edge techniques like emotion recognition and natural language processing, and explore the psychological impact of interacting with social AI.
Stay tuned for new dates and upcoming sessions.