Social Implications of AI & Expert Systems
Prepared by Shoug Fawaz Abdullah Alomran and Layan Abdulaziz Alnasser for ETHC 303 Computer Ethics, this report studies how Artificial Intelligence and Expert Systems affect healthcare, education, finance, manufacturing, and cybersecurity through ethical, societal, and sustainability lenses.
Examines fairness, privacy, accountability, biased data, human oversight, and responsible governance using sources such as WHO, NIST, UNESCO, Stanford HAI, and recent research.
Connects AI adoption to job change, access gaps, inequality, and the need for workers and communities to benefit from AI instead of being displaced by it.
Reviews the energy cost of large AI systems while also recognizing AI's potential to reduce emissions and support more efficient decision-making.
- Audit AI and Expert Systems regularly for bias, inequity, and privacy risk.
- Keep meaningful human involvement in high-impact decisions.
- Support equal access, workforce preparation, and energy-aware AI development.