AiTech Agora

The ancient Greek word Agora refers to a public open space used for assemblies and markets. It captures the informal nature of our weekly meetings, a place where exchange of knowledge, ideas, and an engaging conversation takes place.

  • Due to the COVID-19 situation, we will organize our meetings virtually for the foreseeable future
  • If you wish to join our upcoming meetings, please subscribe to the AiTech Agora mailing list here, or just send an email with a subscription request to aitech@tudelft.nl. You will then start receiving weekly invitations containing the link to the virtual meeting room and the password
  • If you haven't received the invitation through our mailing list and want to join a particular meeting at short notice, please email aitech@tudelft.nl 
  • Presentation slides from our past meetings are available here. We also record some of our online meetings, the past recordings are available here

Next meeting

We invite you to join us for the next virtual AiTech Agora, in which our guest speaker will be Ben Wagner.

Title of the talk: Automating Social Protection: beyond meaningful human control?
When: June 16, 13:00-14:00 CEST
Meeting link: please send us an email to aitech <> tudelft.nl for the meeting link!

Abstract

Across all aspects of the social protection lifecycle, automation is becoming increasingly common. The social safety net is increasingly managed by algorithms and governed by quasi-automated decision-making. This can lead to forms of bias and discrimination that are hard to detect that extend beyond existing protected categories. This presentation will attempt to look at shifting forms of regulating quasi-automated decision-making and how inserting humans in the loop can mitigate many existing and novel challenges. In conclusion, it will propose a different way of thinking about decision-making in social protection. 

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Upcoming meetings

June 16: Ben Wagner

June 16: Ben Wagner

March 16, 13:00 – 14:00 CEST

Ben Wagner: Automating Social Protection: beyond meaningful human control?

Abstract

Across all aspects of the social protection lifecycle, automation is becoming increasingly common. The social safety net is increasingly managed by algorithms and governed by quasi-automated decision-making. This can lead to forms of bias and discrimination that are hard to detect that extend beyond existing protected categories. This presentation will attempt to look at shifting forms of regulating quasi-automated decision-making and how inserting humans in the loop can mitigate many existing and novel challenges. In conclusion, it will propose a different way of thinking about decision-making in social protection. 

June 30: Stefan Buijsman

June 30: 13:00-14:00 CEST

Stefan Buijsman: Defining explanation and explanatory depth in XAI

Abstract:

Explainable artificial intelligence (XAI) aims to provide explanations of black box algorithms, particularly of their outputs. But what are these explanations and when is one explanation better than another? The manipulationist definition of explanation from the philosophy of science offers good answers to these questions, holding that an explanation consists of a generalization that shows what happens in counterfactual cases. Furthermore, when it comes to explanatory depth this account holds that a generalization that has more abstract variables, is broader in scope and/or more accurate is better. By applying these definitions and contrasting them with alternative definitions in the XAI literature I hope to help clarify what XAI should aim to provide.