// MODEL OPTIMIZATION AND PROMPT SYNTAX TERM
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
A large language model (LLM) is a neural network trained on a vast amount of text for natural language processing tasks, especially language generation. LLMs can typically generate, summarize, translate, and analyze text in many contexts, and are a foundational technology behind modern chatbots. Biased or inaccurate training data can make an LLM's output less reliable.
READ MORE ON WIKIPEDIASYNONYMS & 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.
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.
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.
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.
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.
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.
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.
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.
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.