Ethical AI: Why it Matters and What's at Stake | Dvija Mehta

AI Ethics & Bias - AI ethics is the study of aligning artificial intelligence with human values and moral principles, promoting responsible AI use through fairness, accountability, transparency, and safety [1] - AI systems can learn and scale human biases, amplifying them significantly, as demonstrated by Amazon's hiring AI and a bank's loan lending AI [1] - Current large language models (LLMs) like ChatGPT are often "black boxes," lacking interpretability, which hinders the ability to identify and rectify faults in their decision-making processes [1] Anthropomorphism & Social AI - Anthropomorphism, the tendency to treat non-human entities as human, poses risks when applied to AI, potentially leading to inappropriate moral consideration [1][3][9] - Social AI systems, designed to fulfill social needs like companionship, can evoke trust, intimacy, and even love, exacerbating the anthropomorphism problem [5][6] - Assigning human qualities to non-conscious AI systems risks neglecting moral considerations for entities that deserve them, such as non-human animals [9][10] Future of AI & Responsible Development - Interpretability and adaptability are essential for creating safer and more trustworthy AI systems that can be effectively integrated into society [11][12] - The industry needs to address the ethical implications of AI, especially with the potential emergence of Artificial General Intelligence (AGI) and AI agents in the workflow [14][15] - The industry should focus on building a society where technology is ethically aligned with humans, ensuring a safe and trustworthy environment [13][16]