In what scenarios can ethical dilemmas arise with AI usage?

Ethical dilemmas can indeed arise in settings with automated decision-making due to the potential for bias, lack of transparency, and accountability. When AI systems make decisions autonomously, there can be significant implications for individuals and groups, particularly if the algorithms are trained on biased data or if the decision-making processes are not well understood. For instance, in applications like hiring, lending, or law enforcement, the consequences of biased algorithms can lead to discrimination and injustice. This highlights the importance of ensuring fair and equitable outcomes, as well as maintaining oversight and transparency in the decision-making processes of AI systems.

While the other scenarios can involve ethical considerations, they do not necessarily lead to ethical dilemmas in the same direct manner as automated decision-making. Simply sharing data publicly or having human oversight does not exempt an AI application from ethical scrutiny; however, it is in automated decision-making that the implications of ethics become particularly pronounced and complex.