The fourth edition of the Ethical Data Discussion Series, Unveiling Bias: Navigating Gender Disparities in Data and AI, which took place on Tuesday, 25th June 2024 is now available to watch online.

The Ethical Data Discussion Series, presented by the Association of African Universities, the University of Nottingham, and the Ethical Data Initiative, aims to explore important topics and questions surrounding digital technology, data collection, and data-driven research. It highlights the need for training digital practitioners in the ethics of their craft.

Gender bias in AI and data is a pressing issue that can significantly impact the development and application of technology. Biased datasets and algorithms can perpetuate and exacerbate gender disparities, potentially leading to discriminatory outcomes in areas such as hiring, lending, and predictive analytics, among others. This bias can further reinforce harmful stereotypes and limit opportunities. Addressing gender bias in AI and data requires proactive measures to include diverse representation in data collection, algorithm development, and decision-making processes. Ethical considerations and accountability are essential in ensuring that AI and data technologies promote fairness and equity for all individuals, regardless of gender.

Panelists included:

Kutoma Wakunuma, Associate Professor at De Montfort University, focusing on the ethical implications of digital technologies.

Oluwaseun Adepoju, a technology thought leader with extensive experience in the African technology and innovation space.

Garnett Achieng, a creative technologist with a passion for internet safety, especially for marginalized communities.

Moderated by Kathryn Bailey, the Ethical Data Initiative’s Operations Director, the event addressed the pressing issue of gender bias in AI and data. The esteemed panelists engaged in thought-provoking dialogue, exploring the impact of biased data on AI algorithms, its implications for marginalized communities, and strategies to mitigate and address gender bias in the development and deployment of AI systems and data-driven technologies.

The digital revolution has transformed the way we live, solving many issues and leading to better decision making. However, it has also given rise to numerous questions and challenges which affect everyone. Africa has not been left behind in this data revolution, and we all need to be aware of how our data is being used and stored, what our responsibilities are, and how regional and international legislation affects us.

To advocate for the inclusion of data ethics in all data science and research-based higher education courses, and to train the next generation of data and research professionals about their legal and ethical responsibilities surrounding the use, reuse, and sharing of data, we have launched the Campaign for Data Ethics in Education.

Contact us to find out more, including how you can get involved.