Bettina Berendt | DeepAI

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∙ 03/07/2023

Bias, diversity, and challenges to fairness in classification and automated text analysis. From libraries to AI and back

Libraries are increasingly relying on computational methods, including m...

0 Bettina Berendt, et al. ∙

∙ 02/27/2023

Domain Adaptive Decision Trees: Implications for Accuracy and Fairness

In uses of pre-trained machine learning models, it is a known issue that...

0 Jose M. Alvarez, et al. ∙

∙ 01/30/2023

How Far Can It Go?: On Intrinsic Gender Bias Mitigation for Text Classification

To mitigate gender bias in contextualized language models, different int...

0 Ewoenam Tokpo, et al. ∙

∙ 12/29/2022

Political representation bias in DBpedia and Wikidata as a challenge for downstream processing

Diversity Searcher is a tool originally developed to help analyse divers...

0 Ozgur Karadeniz, et al. ∙

∙ 11/15/2022

RobBERT-2022: Updating a Dutch Language Model to Account for Evolving Language Use

Large transformer-based language models, e.g. BERT and GPT-3, outperform...

0 Pieter Delobelle, et al. ∙

∙ 07/10/2022

FairDistillation: Mitigating Stereotyping in Language Models

Large pre-trained language models are successfully being used in a varie...

0 Pieter Delobelle, et al. ∙

∙ 04/28/2022

RobBERTje: a Distilled Dutch BERT Model

Pre-trained large-scale language models such as BERT have gained a lot o...

0 Pieter Delobelle, et al. ∙

∙ 12/14/2021

Measuring Fairness with Biased Rulers: A Survey on Quantifying Biases in Pretrained Language Models

An increasing awareness of biased patterns in natural language processin...

0 Pieter Delobelle, et al. ∙

∙ 11/04/2021

Whistleblower protection in the digital age – why 'anonymous' is not enough. Towards an interdisciplinary view of ethical dilemmas

When technology enters applications and processes with a long tradition ...

0 Bettina Berendt, et al. ∙

∙ 04/20/2021

Measuring Shifts in Attitudes Towards COVID-19 Measures in Belgium Using Multilingual BERT

We classify seven months' worth of Belgian COVID-related Tweets using mu...

0 Kristen Scott, et al. ∙

∙ 05/14/2020

Ethical Adversaries: Towards Mitigating Unfairness with Adversarial Machine Learning

Machine learning is being integrated into a growing number of critical s...

32 Pieter Delobelle, et al. ∙

∙ 01/17/2020

RobBERT: a Dutch RoBERTa-based Language Model

Pre-trained language models have been dominating the field of natural la...

0 Pieter Delobelle, et al. ∙

∙ 01/14/2020

Bias in Data-driven AI Systems – An Introductory Survey

AI-based systems are widely employed nowadays to make decisions that hav...

0 Eirini Ntoutsi, et al. ∙

∙ 10/30/2019

Time to Take Emoji Seriously: They Vastly Improve Casual Conversational Models

Graphical emoji are ubiquitous in modern-day online conversations. So is...

0 Pieter Delobelle, et al. ∙

∙ 10/30/2018

AI for the Common Good?! Pitfalls, challenges, and Ethics Pen-Testing

Recently, many AI researchers and practitioners have embarked on researc...

0 Bettina Berendt, et al. ∙

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