Today, AI systems and products are becoming widespread in many aspects of everyday life, from insurance to policing and online platforms. However, fully data-driven systems raise essential concerns on their ethics and accountability: can we ensure that machine learning systems do not propagate existing biases and stereotypes from data? More in general, can we ensure that an algorithm is fair to everyone? While fairness has now become an essential concept in machine learning, its adoption still requires a fundamental shift in how we view and perceive intelligent systems.
On May 30th we will host a discussion on this topic with Silvia Chiappa, Staff Data Scientist at DeepMind, who will describe the significance of the problem and some of the work she conducted over the last years.
This seminar is part of the IAML tech talks, a serie of lectures co-organized and sponsored by the Italian Association for Machine Learning and Pi Campus, to promote discussion on topics of wide significance and societal impact, and bringing together researchers, professionals, and policy makers to discuss the future of machine learning in Italy.
These events are reserved to Pi Campus founders and our guests. If you were not invited, you can request an invite here. Be aware that requesting an invitation does not guarantee an invitation from us.
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