// MODEL OPTIMIZATION AND PROMPT SYNTAX TERM
AI Ethics
A set of principles and practices to guide the development and use of AI in a way that is fair, just, and respects human values.
TECHNICAL DEFINITION
AI Ethics is the interdisciplinary study and application of moral principles to the design, development, deployment, and governance of artificial intelligence systems, addressing issues like fairness, privacy, autonomy, and societal impact.
BACKGROUND
An AI boom is a period of rapid growth in the field of artificial intelligence. The most recent boom happened in the 2020s before seeing increased acceleration and media coverage. Examples of this include generative AI technologies, such as large language models (LLM) and AI image generators developed by companies like OpenAI, Google, and Anthropic, as well as scientific advances, such as protein folding prediction led by Google DeepMind and Google AI. This period is sometimes referred to as an AI spring, a term used to differentiate it from previous AI winters. As of 2025, ChatGPT has emerged as the 4th-most visited website globally, surpassed only by Google, YouTube, and Facebook.
READ MORE ON WIKIPEDIASYNONYMS & ALIASES
- Ethical AI
- AI morality
- AI principles
- responsible AI
USAGE NOTE
Companies are increasingly establishing AI ethics committees to guide their product development.
DEVELOPERS
Organizations developing technology related to AI Ethics.
Dedicated to anticipating and addressing the ethical and societal challenges posed by AI technologies, influencing the responsible development and deployment of Google DeepMind's advanced AI systems and impacting engineering practices.
An advisory committee that helps ensure Microsoft's AI technologies are developed and deployed responsibly. It provides recommendations and guidelines that directly influence AI engineering and product design across the company.
Focuses on developing ethical principles, practices, and tools for responsible AI development and deployment. This includes creating frameworks that guide AI engineers and prompt designers in building trustworthy AI systems.
A consortium of industry, academic, and civil society organizations working to advance the understanding of AI and to formulate best practices for the responsible development and deployment of AI technologies, impacting how AI is engineered and utilized.
Conducts research on the ethical, societal, and policy implications of AI, aiming to develop AI that augments human capabilities. Their work informs responsible AI engineering and the design of human-AI interaction.
While developing cutting-edge AI models, OpenAI also has a significant focus on AI safety and ethics, including research into alignment, bias, and responsible deployment. This directly influences their model architecture, engineering guidelines, and prompt design recommendations.
A non-profit AI research institute that develops open-source AI systems and tools. Their work often includes research into areas like explainable AI and fairness, which are critical for ethical AI engineering and understanding model behavior.