Collaborative Artificial Intelligence

Traditionally, Artificial Intelligence (AI) applications are realized as 'centralized' solutions, where a single entity, e.g., an organization, collects massive amounts of data from end users to provide a suite of AI-powered services. The ethical concerns such centralized AI solutions pose (e.g., fairness, accountability, transparency, and privacy) are increasingly evident.

This course introduces collaborative artificial intelligence, which facilitates interactions among intelligent agents, including humans and AI agents, to realize decentralized AI applications. The topics covered include:

• Co-active design of decentralized AI systems

• Negotiation among autonomous agents

• Agent communication and interaction protocols

• Agent coordination mechanisms

• Written Examination (50%)

• Group Assignments (50%)

The exam and the assignments are both intermediate results, and will not count separately for the next academic year. Only the final grade will remain. For the exact calculation of the final grade, see the introductory lecture.

Resit and Repair

The written exam has one resit in the same academic year.

The group assignments (projects) do not have a resit. The projects take place during the quarter. A repair option can be provided only for students failing the projects. The maximum grade achievable for the projects with the repair option is 6.0. The repair option typically includes redoing parts of the project that are found to be insufficient in the original submission. The projects during the quarter involve group work, but the repair option may be offered solo.

Disclaimer: information may change depending on unforeseen circumstances or measures (see: TER Art 29, sub 4)