AI Ethics
The study of moral principles and values that should guide the development and deployment of AI systems. It addresses questions of fairness, accountability, transparency, privacy, and the societal impact of AI.
Why It Matters
AI ethics is not just philosophy — it drives real decisions about what to build, how to build it, and who is affected. Companies without AI ethics frameworks face increasing legal and reputational risk.
Example
Google's AI ethics review board evaluating whether a facial recognition product should be sold to law enforcement, weighing accuracy, bias, and civil liberties concerns.
Think of it like...
Like medical ethics for the digital age — just because you can do something with technology does not mean you should, and there need to be frameworks for making those decisions.
Related Terms
Responsible AI
An approach to developing and deploying AI that prioritizes ethical considerations, fairness, transparency, accountability, and societal benefit throughout the entire AI lifecycle.
Bias in AI
Systematic errors in AI outputs that unfairly favor or disadvantage certain groups based on characteristics like race, gender, age, or socioeconomic status. Bias can originate from training data, model design, or deployment context.
Fairness
The principle that AI systems should treat all individuals and groups equitably and not produce discriminatory outcomes. Multiple mathematical definitions of fairness exist, and they can sometimes conflict.
Transparency
The principle that AI systems should operate in a way that allows stakeholders to understand how they work, what data they use, and how decisions are made.
AI Governance
The frameworks, policies, processes, and organizational structures that guide the responsible development, deployment, and monitoring of AI systems within organizations and across society.
AI Safety
The research field focused on ensuring AI systems operate reliably, predictably, and without causing unintended harm. It spans from technical robustness to long-term existential risk concerns.