Bias in AI
Malobika Bose · Advances in computational intelligence and robotics book series · 2024
This chapter examines the effects of bias in AI on individuals, businesses, and society, along with potential mitigation strategies. The pervasive adoption of artificial intelligence (AI) in various societal sectors raises a critical question: what is the impact of inherent biases in AI systems? It is vital to seek technical solutions to these biases and to comprehend the wider societal repercussions of AI bias to reduce its detrimental effects. AI bias can significantly and sometimes adversely affect individuals, businesses, and society. The influence of AI bias spans several domains, including employment, hiring, businesses, criminal justice system and society. AI-driven mechanisms could unintentionally discriminate against specific demographics based on race, gender, or economic status, potentially aggravating existing inequalities and curtailing opportunities for underprivileged groups. Moreover, AI bias can shape public perception and decision-making. Thus, it is clear that AI impacts us on three fronts: individually, commercially, and societally.