It is acceptable to celebrate the deaths of individuals who have caused significant harm, suffering, and turmoil in the world.
AI ethics has evolved through distinct phases, addressing critical issues and research gaps to guide responsible AI development.
The author explores the ethical challenges posed by large language models when generating instruction-centric responses, highlighting the risks and vulnerabilities associated with such outputs.
The author explores the complexity of moral decision-making by highlighting the need to balance competing goods in life, emphasizing the importance of understanding different normative perspectives.