The AI Fairness Cluster Inaugural Conference & Workshop on AI Bias convened in Amsterdam, on 19-20 March 2024, bringing together stakeholders from academia and industry to address the critical issue of algorithmic fairness. Organised by the collaborative efforts of the AI Fairness Cluster composed by four projects: AEQUITAS, BIAS, MAMMOth, and FINDHR; the event aimed to explore the multifaceted dimensions of AI bias and foster dialogue on strategies for mitigating its adverse effects.
The conference featured a diverse array of presentations and discussions, highlighting various aspects of AI bias and fairness. Discussions during the event underscored the complexity of addressing algorithmic bias, emphasizing the need for nuanced approaches grounded in socio-technical contexts. Key themes included the juxtaposition of AI’s utility with its ethical implications, the societal roots of bias in information systems, and the challenges in defining and operationalizing fairness metrics. Additionally, participants explored the intricate interplay between human and algorithmic biases, recognizing the imperative of holistic considerations in assessing AI systems’ impact.
The AEQUITAS team contributed to several discussion across the Conference, as well as to the Workshop. Roberta Calegari (UNIBO), project coordinator, provided a comprehensive overview of the AEQUITAS project, while Catelijne Muller (ALLAI) shared expertise as one of the panel speakers focusing on Discrimination Risks in Decision-Making using AI. Additionally, Giulia Sudano, President of Period Think Tank, one of the NGO’s taking part in the AEQUITAS project and providing insights on bias and discrimination, contributed to the panel on Representational Harms in Foundation Models.
The AI Fairness Cluster Inaugural Conference & Workshop on AI Bias provided a platform for stakeholders to engage in substantive discussions and share insights on addressing algorithmic bias. The event underscored the complexities inherent in this endeavour while highlighting the potential for collaborative efforts to drive meaningful progress.
Our heartfelt gratitude is extended to all participants who contributed to the vibrancy and success of the conference – your active engagement and insightful contributions enriched the discussions, furthering our collective understanding of algorithmic fairness!
As we navigate the evolving landscape of AI ethics, continued collaboration and dialogue will be essential in shaping a future where technology aligns with the values of inclusivity and equity.