Ethical concerns in AI include which issue?

• A. Concerns about AI generating misleading content or reinforcing societal inequalities.
• B. Economic costs of running AI workloads.
• C. Shortage of AI-trained professionals in the workforce.
• D. AI systems fully replacing human decision-makers.

Answer: (A)

Ethical concerns in AI center on how models influence trust, fairness, and safety in society. The issue described—AI generating content that misleads people or reinforces social inequalities—addresses two core ethical risks. First, misleading content can spread false information, manipulate opinions, or cause harm in areas like politics, health, and public safety. Second, bias in AI systems can perpetuate or worsen discrimination, producing unfair outcomes for certain groups and eroding trust in technology. Together, these concerns strike at the heart of responsible AI use: ensuring accuracy, transparency, and fairness in how AI affects people.

Operational or broader societal aspects exist, but they aren’t as directly tied to ethics in the same explicit way. Economic costs of running AI workloads are about resource use and sustainability, workforce shortages relate to education and labor markets, and replacing human decision-makers raises governance questions. The ethical issue most central to AI’s impact on people is how content can be misleading and how bias can entrench inequality.