Algorithmic Bias, Privacy, and Autonomy: Research on Pathways to Mitigate Ethical Dilemmas in Artificial Intelligence

This paper analyzes various ethical challenges confronting artificial intelligence (AI), with a focused examination of their underlying causes. Specifically, it investigates: (1) The origins of algorithmic bias, exploring how algorithm design perpetuates societal prejudices; (2) The root causes of privacy breaches, examining the tension between data-driven innovation and data privacy; (3) The erosion of human autonomy, addressing how opaque decision-making mechanisms and behavioral manipulation undermine human agency. To tackle these AI ethical dilemmas, this paper proposes Triple Helix Model designed to partially resolve these challenges. Preliminary verification of the model’s effectiveness is also presented.