// 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
Generative artificial intelligence (GenAI) is a subfield of artificial intelligence (AI) that uses generative models to generate text, images, videos, audio, software code or other forms of data. These models learn the underlying patterns and structures of their training data, and use them to generate new data in response to input, which often takes the form of natural language prompts.
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.