Ethics in AI: A Challenging Task
Different biases affect all of us on the Web. Ricardo Baeza-Yates explains how we can become aware of them and safeguard a concept of ethics in AI.
This is an online-only event.
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Ethics in AI: A Challenging Task—Ricardo Baeza-Yates (Institute for Experiential AI, Northeastern University, USA)
Moderator: Carlo Ghezzi (Politecnico di Milano, Italy)
In the first part, we cover four current specific challenges: (1) discrimination (e.g., facial recognition, justice, sharing economy, language models); (2) phrenology (e.g., bio-metric based predictions); (3) unfair digital commerce (e.g., exposure and popularity bias); and (4) stupid models (e.g., Signal, minimal adversarial AI).
These examples do have a personal bias but set the context for the second part where we address four generic challenges: (1) too many principles (e.g., principles vs. techniques), (2) cultural differences (e.g., Christian vs. Muslim); (3) regulation (e.g., privacy, antitrust) and (4) our cognitive biases. We finish discussing what we can do to address these challenges in the near future.
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About the Series
Digital humanism deals with the complex relationship between man and machine. It acknowledges the potential of Informatics and IT. At the same time, it points to related apparent threats such as privacy violations, ethical concerns with AI, automation, and loss of jobs, and the ongoing monopolization on the Web. The Corona crisis has shown these two faces of the accelerated digitalization—we are in a crucial moment in time.
For this reason, we started a new initiative—DIGHUM lectures—with regular online events to discuss the different aspects of Digital Humanism. We will have a speaker on a specific topic (30 minutes) followed by a discussion of 30 minutes every second Tuesday of each month at 5:00 PM CEST. This crisis does seriously affect our mobility, but it also offers the possibility to participate in events from all over the world—let’s take this chance to meet virtually.