Future of AI: Supporting Those Facing Discrimination, Violence, and Social Exclusion

A public lecture in Bielefeld is addressing how artificial intelligence systems can perpetuate discrimination against marginalized groups, highlighting growing concerns about bias in AI technologies.

The VHS-Vortrag event, hosted by the city of Bielefeld, focuses on the intersection of racism and artificial intelligence, examining how historical biases become embedded in AI systems and lead to future discrimination.

According to Ashwini K.P., UN Special Rapporteur on contemporary forms of racism, racial discrimination, xenophobia, and related intolerance, recent developments in generative AI are enabling the technology to perpetuate racial discrimination by amplifying biases from the past.

Research published in AI and Ethics journal emphasizes that diverse and inclusive AI development is essential to prevent harm and discrimination, citing real-world examples where AI systems have infringed on protected attributes including gender, race, and ability.

Specific cases documented in the research include facial recognition technology misidentifying African American individuals leading to wrongful arrests, AI hiring tools showing preference for male candidates due to gender data gaps, medical algorithms favoring white patients over Black patients in healthcare decisions, and credit card algorithms accused of providing women with lower credit limits than men.

The Springer research article explains that without intentional diversity and inclusion practices in AI design, development, and deployment, systems risk amplifying existing societal biases, potentially marginalizing or harming specific individuals and groups while undermining AI’s promise to enhance human capabilities equitably.

Additional research examines AI’s broader impact through the lens of “slow violence,” describing how AI systems gradually erode human rights frameworks by affecting privacy, non-discrimination, freedom of expression, and economic rights through gradual, attritional harms that challenge foundational assumptions of human rights protections.

The Bielefeld lecture represents part of growing public discourse on ensuring AI technologies are developed and implemented in ways that prevent discrimination and promote equitable outcomes across different segments of society.

This coverage stems from a Google Alert discovery on artificial intelligence topics dated April 24, 2026, referencing the Bielefeld VHS-Vortrag event on racism and AI.