Keynote lecture at IC3K 2022
By creating forms of human-AI intelligence we aim to support the individual and social wellbeing of people. We illustrate this with examples of Human-AI decision making, and human-robot teamwork. With the aim in mind of creating responsible AI we depart from the position that we aim to enhance or augment human intelligence, not to replace humans. The implication of this is that from the start we have to design for the co-activities that human and AI will undertake and pay special attention of the interdependencies between human activities and those of the AI. We then go to the next level by discussing how such hybrid intelligent systems can perform self-reflection on their performance, and based on that adapt their activities and measurable criteria for behaving responsibly. Thus we discuss problems and potential solutions of keeping AI and in particular Machine Learning algorithms in bounds.