Bias Mitigation in AI Technology
Keywords:
Artificial Intelligence, Bias Mitigation, Fairness, Ethics, Discrimination, Decision-making, AI Technology, Bias Challenges, Bias Mitigation ApproachesAbstract
Artificial Intelligence (AI) is revolutionizing the way decisions and predictions are made across various domains, from business and finance to government services and healthcare. Its potential to enhance efficiency, productivity, and economic growth is evident, with PwC research estimating that AI could contribute $15.7 trillion to the global economy by 2030. However, the widespread adoption of AI also poses significant challenges, most notably the issue of bias. This research paper delves into the critical topic of bias mitigation in AI technology. It explores the implications of AI bias on decision-making, the limitations of technical solutions, and the broader strategies needed to address bias, making a case for the proactive involvement of business leaders and governance in shaping AI's future. This paper deals a comprehensive analysis of the challenges associated with bias in AI technology and highlight the critical role of business leaders and governance in shaping the future of AI. It will also underscore the importance of moving beyond technical solutions to address the broader dimensions of bias, fostering an equitable and inclusive AI-driven world.
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