- Understanding the main regulatory strategies and instruments concerning enhancement of technological innovation, particularly in early/experimental stages and regarding the development of robotics and AI.
- Capable of critically reflecting on these strategies & instruments.
- Able to apply the key regulatory strategies & instruments in terms of a design perspective on a given technological innovation in robotics and AI.
This course is about how governance and regulation, especially regulatory strategies and legal regimes, can foster (design, experimentation and implementation of) technological innovation, particularly in the field of AI, robotics, and drone development and use – while at the same time addressing possible risks. The iterative relationship between technology development and regulatory development will be key to the course. Specific topics will be: |
the design of legal/regulatory regimes for experimenting with new AI and robotics developments and uses (such as in sequentially up-scaling);
- the design of ‘future proof regulation’, that allows more liberties to innovation in AI and robotics (such as a go-ahead without ex ante permissions and the use of private regulation);
- possibilities for ‘designing-in’ regulation or techno-regulation.
- possibilities for developing a tool to link robotics/drones/AI impact assessment to regulatory impact assessment.
- robots regulating humans and other robots.
As follows from the aims and content of the course, regulation of UAS/UAVs will, as subcategories of robotics, be explicitly addressed, while also considering the wider context of artificial intelligence. Still, where relevant and possible, regulation of other categories of robotics, such as automated vehicles, care-robots, and swarms will also be included in the discussion. Lastly, we aim to raise deeper issues of human-machine interaction, particularly along the continuum of ethics, governance, law, and regulation.
Individual or group assignment to write a paper (a group assignment only when there are 8 or more participants)|
Only if the grade for the assignment is below 7, may an attempt be made to improve, but the attempt cannot lead to a new grade above 7.