Human-Centred AI Development Event at University of Birmingham
Explore the intersection of digital technologies and human-centred AI at the networking event hosted by Professor Chris Baber at the University of Birmingham. Learn about ethical AI development and interactive dialogues for acceptable AI-assisted decision making. Dive into the world of AI modeling, decision explanations, and human decision-making processes. Contact Chris Baber for more information.
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Presentation Transcript
PRESENTATION TITLE (edit) Professor Chris Baber University of Birmingham, UK Networking event on Digital and Emerging Technologies and Human-centred AI 24 January, 2022
School of Computer Science, University of Birmingham, UK University of Birmingham: 30,000 students and 7,000 staff. A member of the Russell Group, University of Birmingham was founded in 1900. It is the largest UK civic University, and the original redbrick University. Annual turnover in excess of 550M. Organised into Colleges of Engineering & Physical Sciences; Medicine and Dentistry, Social Sciences; Arts and Law School of Computer Science: 57 academic and research staff; 1356 students; Expertise in Computer Security, Robotics, Computational Theory, Artificial Intelligence, Computational Life Sciences, Human-Centred Computing
Topic: HUMAN-CENTRED AND ETHICAL DEVELOPMENT OF DIGITAL AND INDUSTRIAL TECHNOLOGIES Project: Interactive Dialogues for Acceptable AI- assisted Decision Making AI can model the consequences of a decision so that we can judge its social and ethical implications and desirability. Explanations can capture the attributes AI uses for its decision. But this is not enough for a human understandable explanation Explanation must involve a dialogue to agree common ground in what the attributes mean. People can find it difficult to put into words what their decisions are based on. AI models of human decision making can help reveal the basis of human decisions and provide the foundation for common ground. AI models can reveal the attributes that people are using, and allow what-if testing of preferences and relevance of these attributes.
Contact details Chris Baber Chair of Pervasive & Ubiquitous Computing School of Computer Science University of Birmingham c.baber@bham.ac.uk 0044 121 3965
