Search Results for author: Carina Prunkl

Found 6 papers, 3 papers with code

LUCID-GAN: Conditional Generative Models to Locate Unfairness

1 code implementation28 Jul 2023 Andres Algaba, Carmen Mazijn, Carina Prunkl, Jan Danckaert, Vincent Ginis

Most group fairness notions detect unethical biases by computing statistical parity metrics on a model's output.

Bias Detection Fairness

LUCID: Exposing Algorithmic Bias through Inverse Design

1 code implementation26 Aug 2022 Carmen Mazijn, Carina Prunkl, Andres Algaba, Jan Danckaert, Vincent Ginis

The results show that by shifting the focus towards equality of treatment and looking into the algorithm's internal workings, the canonical sets are a valuable addition to the toolbox of algorithmic fairness evaluation.

Decision Making Fairness

Institutionalising Ethics in AI through Broader Impact Requirements

no code implementations30 May 2021 Carina Prunkl, Carolyn Ashurst, Markus Anderljung, Helena Webb, Jan Leike, Allan Dafoe

In 2020, the Conference on Neural Information Processing Systems (NeurIPS) introduced a requirement for submitting authors to include a statement on the broader societal impacts of their research.

Ethics

Beyond Near- and Long-Term: Towards a Clearer Account of Research Priorities in AI Ethics and Society

no code implementations13 Jan 2020 Carina Prunkl, Jess Whittlestone

One way of carving up the broad "AI ethics and society" research space that has emerged in recent years is to distinguish between "near-term" and "long-term" research.

Ethics

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