Hidden in the Algorithm

This course aims to explore the implications of algorithmic bias and discrimination in various aspects of society. The learning outcomes include understanding the role of algorithms in decision-making processes, identifying potential biases, and discussing strategies to mitigate these risks. The course covers topics such as artificial intelligence, automated decision-making, accountability, regulation, data privacy, and ethical standards. The intended audience for this course includes individuals interested in technology, ethics, law, and societal impact. The teaching method involves presentations and discussions led by experts in the field.