Social Implications of Bias in Machine Learning

Explore the critical social implications of bias in machine learning through this thought-provoking conference talk by Fiona Coath from Thoughtworks. Delve into the ways machine learning algorithms can perpetuate and amplify existing societal biases, and understand the far-reaching consequences these biases can have on various aspects of society. Learn about real-world examples of biased AI systems and their impacts, and gain insights into potential strategies for mitigating these biases. Discover the importance of diverse and inclusive teams in developing AI solutions, and examine the ethical considerations that must be addressed in the field of machine learning. This 34-minute presentation challenges viewers to think critically about the role of technology in shaping our society and encourages a more responsible approach to AI development.

Social implications of Bias in Machine Learning. Fiona Coath, Thoughtworks