Search Results for author: Teresa Scantamburlo

Found 6 papers, 0 papers with code

On Prediction-Modelers and Decision-Makers: Why Fairness Requires More Than a Fair Prediction Model

no code implementations9 Oct 2023 Teresa Scantamburlo, Joachim Baumann, Christoph Heitz

We clarify the distinction between the concepts of prediction and decision and show the different ways in which these two elements influence the final fairness properties of a prediction-based decision system.

Decision Making Fairness

Artificial Intelligence across Europe: A Study on Awareness, Attitude and Trust

no code implementations19 Aug 2023 Teresa Scantamburlo, Atia Cortés, Francesca Foffano, Cristian Barrué, Veronica Distefano, Long Pham, Alessandro Fabris

This paper presents the results of an extensive study investigating the opinions on Artificial Intelligence (AI) of a sample of 4, 006 European citizens from eight distinct countries (France, Germany, Italy, Netherlands, Poland, Romania, Spain, and Sweden).

European Strategy on AI: Are we truly fostering social good?

no code implementations25 Nov 2020 Francesca Foffano, Teresa Scantamburlo, Atia Cortés, Chiara Bissolo

In this paper, we present an ongoing study on how European countries are approaching the field of Artificial Intelligence, with its promises and risks, through the lens of their national AI strategies.

On Social Machines for Algorithmic Regulation

no code implementations30 Apr 2019 Nello Cristianini, Teresa Scantamburlo

Autonomous mechanisms have been proposed to regulate certain aspects of society and are already being used to regulate business organisations.

Management

Machine Decisions and Human Consequences

no code implementations16 Nov 2018 Teresa Scantamburlo, Andrew Charlesworth, Nello Cristianini

As we increasingly delegate decision-making to algorithms, whether directly or indirectly, important questions emerge in circumstances where those decisions have direct consequences for individual rights and personal opportunities, as well as for the collective good.

Decision Making Fairness

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