Definition
This phrase represents a pivotal question in AI ethics and governance, prompting stakeholders to assess whether deployed AI technologies align with human values and public interest. It involves scrutinizing algorithmic bias, privacy implications, transparency, and accountability. The concept encourages proactive ethical review before and during AI deployment, ensuring that technological advancements do not inadvertently perpetuate discrimination or cause social harm, thus bridging the gap between technical capability and moral responsibility.
Summary
A critical ethical framework used to evaluate AI systems against societal values, fairness, and potential harmful consequences.
Key Concepts
- AI Ethics
- Value Alignment
- Social Impact
- Responsible AI
Use Cases
- Policy formulation for AI regulation
- Corporate AI governance reviews
- Public debate on facial recognition