Hacking the Human Bias in AI

Hacking the Human Bias in AI

Explore the critical issue of human bias in artificial intelligence through this thought-provoking keynote address delivered by Ayanna Howard at FAT*2020 in Barcelona. Delve into the challenges and potential solutions for addressing bias in AI systems, drawing from Howard's extensive expertise in robotics and human-computer interaction. Gain valuable insights into the ethical implications of AI development and learn strategies for mitigating human bias in machine learning algorithms. Discover how researchers and practitioners can work towards creating more fair, accountable, and transparent AI technologies that benefit society as a whole.