Description: The session addresses the problems of algorithmic bias and exclusion impacting human rights in the digital age. As algorithms increasingly play a pivotal role in shaping various aspects of our lives, from employment opportunities to access to information, there is growing concern that these algorithms may perpetuate and exacerbate social inequalities and discrimination. At the heart of this issue lies the concept of algorithmic bias, which refers to the systematic and unfair treatment of certain groups or individuals based on race, gender, socioeconomic status, disability, or other protected characteristics. Algorithmic bias can manifest in various forms, including unequal access to healthcare or financial services, disparities in search engine results, and discriminatory targeting in advertising, among others. In this context, the session recognizes the importance of a human-centered approach to algorithmic development and deployment, one that prioritizes human rights, equity, and inclusion. The session aims to state that by placing human rights at the centre of algorithmic design and implementation, it is possible to mitigate the risks of bias and discrimination and ensure that algorithms serve the needs of all individuals, regardless of their background or circumstances. Many algorithms operate as "black boxes" with their inner workings hidden from scrutiny, making it difficult to identify and rectify instances of bias or exclusion. Without transparency, individuals affected by algorithmic decisions may be left without recourse or understanding of why they are treated unfairly. Hence, drawing from the speakers' extensive experience, the session explores concrete strategies and best practices for advancing human rights and inclusion in the digital age through algorithmic transparency, accountability, and inclusivity. The session fosters dialogue among stakeholders from diverse backgrounds and generates actionable recommendations for advancing human-centered algorithms and promoting digital equity and inclusion.
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