Human-AI Interaction

Artificial intelligence (AI) has been introduced to many realms of human activity. AI already profoundly impacts our society, and will only increase in importance in the future. On a daily basis, people now interact with machines, computer systems, and robots that can perceive and learn from their environments, make adaptive decisions, and even take actions in the physical world without much human intervention. While AI technologies are expected by many to benefit the human race and improve the human condition, others are concerned about potential negative consequences of AI. For example, intelligent machines may replace humans (e.g., job loss) or incompetent AI systems may cause fatal errors (e.g., accidents by self-driving cars). A human-centered approach to AI is thus needed in which we develop AI technologies with a clear understanding of how the advantages and limitations of AI are complementary to – or clash against ­– the strengths and weaknesses of human cognition. This course is designed to help students, our next-generation scientists and engineers, to comprehend and anticipate the current and future impacts of AI on human-technology interactions and human-technology relations, and to be familiarized with principles and tools that can help to engineer AI systems that benefit human well-being.

While the field of human-AI interaction is broad and fast growing, this course focuses on three main challenges in human-AI interaction: (1) how to make AI models more transparent by using explainable AI (XAI) techniques; (2) how to mitigate biases and warranty fairness in the developments of AI models and AI-infused systems; (3) how to appropriately design and evaluate human-AI decision-making and human-AI collaborations. The weekly meetings are a mix of lectures about theories and basic techniques, interactive sessions for discussing advanced topics in recent research papers, and workgroups where you work a group assignment of designing and evaluating a human-AI interaction prototype. Students will be assessed based on the group assignment (60%), their active pariticpation in the discussion sessions (30%), and an individual reflection report relating to the group assignment (10%).

After this course, the students are able to:

• Critically assess the state of the art in AI applications, including its strengths and limitations, benefits and risks, from a human-centered perspective
• Apply the principles and techniques of explainable and interactive AI to practical problems
• Analyze the causes of biases in AI algorithms and formulate solutions to address them
• Design AI-infused systems in view of human values
• Evaluate AI-infused systems with and without involving human users
• Discuss on the state-of-the-art in human-AI interaction based on recent research papers

You must meet one of the following collections of requirements

• Collection 1
• Completed Final examination Bsc program
• Collection 2
• Completed Pre-Master

• Specific materials will be provided on Canvas