As AI systems become more autonomous, how can we prevent "AI-driven ethical drift" in environments where decision-making criteria continuously evolve, and what steps can we take to ensure these systems remain ethically aligned over time?
Decision-making is an integral part of human life, ranging from daily routine to greater judgments. The role of AI as a decision-maker has been increasingly important in recent years and will continue to evolve significantly over the next decades. Although AI systems are autonomous, their influence on decision-making depends on humans, who are considered to be its users. One of the best solutions to control AI autonomy may be enhancing the ethical awareness of humans, as AI-driven decision-making is based on the human mind and ideological approval.
Every day, artificial intelligence quietly shapes the world around us—from smartphones suggesting new shows to life-impacting decisions made by sophisticated algorithms. As a researcher, I’ve become increasingly fascinated by how ethics plays a crucial role in guiding AI’s rapid advancement. While the possibilities seem endless, the ethical challenges are just as broad and complex. In this blog post, I’ll share some compelling research paper topics related to ethics in artificial intelligence, specifically tailored for fellow students exploring this emerging area.