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IEEE Ethics

Guidelines and principles developed by the Institute of Electrical and Electronics Engineers to ensure that AI and autonomous systems are designed and used responsibly.

TECHNICAL DEFINITION

IEEE Ethics refers to the ethical principles and initiatives, such as "Ethically Aligned Design" (EAD), developed by the Institute of Electrical and Electronics Engineers to guide the responsible creation and deployment of autonomous and intelligent systems, emphasizing human well-being, accountability, and transparency.

BACKGROUND

Machine ethics is a part of the ethics of artificial intelligence concerned with adding or ensuring moral behaviors of man-made machines that use artificial intelligence (AI), otherwise known as AI agents. Machine ethics differs from other ethical fields related to engineering and technology. It should not be confused with computer ethics, which focuses on human use of computers. It should also be distinguished from the philosophy of technology, which concerns itself with technology's grander social effects.

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SYNONYMS & ALIASES

  • IEEE Ethical AI
  • IEEE EAD
  • IEEE AI Principles

USAGE NOTE

Many AI developers consult IEEE Ethics to ensure their projects align with global ethical standards.

DEVELOPERS

Organizations developing technology related to IEEE Ethics.

  • IEEE

    Develops global ethical standards and guidelines for autonomous and intelligent systems (e.g., IEEE SA P7000™ series), directly influencing AI engineering and responsible prompt design practices across the industry.

  • Microsoft

    Develops AI platforms, tools (e.g., Azure Responsible AI Dashboard), and best practices for AI engineering and prompt design, integrating ethical principles into their development lifecycle.

  • Google

    Committed to responsible AI development, implementing ethical principles in AI engineering and prompt design, and contributing to research on fairness, interpretability, and safety in AI systems.

  • IBM

    Develops enterprise AI solutions and platforms, embedding ethical AI principles into their engineering processes and providing frameworks for responsible AI governance, including considerations for prompt design.

  • Salesforce

    Through its Office of Ethical & Humane Use, Salesforce develops tools and frameworks to guide the responsible development and deployment of AI, including ethical considerations for AI engineering and prompt creation in CRM solutions.

  • Accenture

    Advises and develops AI engineering solutions for clients, integrating ethical AI principles into design, development, and prompt engineering practices to ensure responsible and trustworthy AI systems.

  • Intel

    Invests in AI research and development with a strong emphasis on ethical AI, influencing hardware and software design for AI engineering to ensure responsible and fair AI outcomes.

  • PwC

    Develops and implements responsible AI frameworks and methodologies for organizations, guiding AI engineering and prompt design practices to align with ethical standards and regulatory requirements.

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