AI Ethics
The branch of ethics focused on the moral implications of developing and deploying AI systems, addressing fairness, accountability, transparency, privacy, and the broader societal impact of AI technology.
AI ethics has evolved from an academic field to a corporate imperative and regulatory requirement. Over 70 countries have published AI ethics guidelines. IEEE, ACM, and the OECD have developed AI ethics frameworks. However, only 32% of organizations using AI have formal ethics governance. Key debates include the ethics of AI-generated content, autonomous weapons, surveillance, and the concentration of AI power among a few companies. The field is growing — AI ethics research papers have increased 5x since 2018, and AI ethics officer roles are emerging as a new job category.
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Related Terms
Artificial General Intelligence (AGI)
A hypothetical form of AI that can understand, learn, and apply knowledge across any intellectual task at or above human level, rather than being specialized for specific tasks.
AI Alignment
The research field focused on ensuring AI systems behave in accordance with human values and intentions, particularly as systems become more capable.
AI Safety
The interdisciplinary field focused on preventing AI systems from causing harm, encompassing alignment, robustness, interpretability, and governance of AI technologies.
Deepfake
AI-generated synthetic media — images, video, or audio — that realistically depict events or statements that never occurred, created using deep learning techniques.
EU AI Act
The European Union's comprehensive AI regulation, which entered into force on August 1, 2024, classifying AI systems by risk level and imposing requirements from transparency disclosures to outright bans.
Hallucination
When an AI model generates plausible-sounding but factually incorrect or fabricated information, presenting it with the same confidence as accurate responses.
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