IEEE Std 7014-2024 PDF

Full title and description

IEEE Standard for Ethical Considerations in Emulated Empathy in Autonomous and Intelligent Systems (IEEE Std 7014-2024). This standard provides guidance, mandatory ("shall") and recommended ("should") statements for the ethical design, development, deployment, operation and decommissioning of systems that attempt to identify, model, respond to, or simulate human affective states (commonly called affective computing, emotion AI or empathic AI).

Abstract

IEEE 7014-2024 defines ethical principles, lifecycle practices and concrete requirements to reduce harms and promote human flourishing when autonomous or intelligent systems emulate empathy. The standard addresses system design, data handling, transparency and disclosure, human oversight, evaluation and monitoring, bias mitigation, privacy, and decommissioning. It is intended to help multidisciplinary teams build empathic systems that are safe, accountable, explainable, and respectful of user autonomy and wellbeing.

General information

• Status: Active standard (published).
• Publication date: 28 June 2024 (IEEE Standards Board approval: 20 May 2024).
• Publisher: IEEE / IEEE Standards Association.
• ICS / categories: 35.020 — Information technology (general); relates to autonomous and intelligent systems ethics.
• Edition / version: First edition (2024).
• Number of pages: 51 pages (standard document length).

Scope

IEEE 7014-2024 applies to autonomous and intelligent systems that emulate aspects of human empathy by sensing, inferring, modelling, or responding to users' emotional or affective states. The scope includes: design and development practices; data and model governance for affective signals; disclosure and labeling of empathic capabilities; user consent and autonomy safeguards; human oversight and escalation; testing, verification and monitoring of empathic behaviors; and guidance for responsible deployment and decommissioning. It does not prescribe technical implementations, but sets ethical requirements and recommended practices applicable across industries and settings where emulated empathy is used.

Key topics and requirements

• Definitions and taxonomy for "emulated empathy", affective signals, empathic responses and use contexts.
• Principles: respect for human dignity, beneficence, non-maleficence, fairness, transparency and accountability.
• Mandatory (“shall”) requirements for disclosure and labeling of empathic capabilities to end users.
• Human oversight: roles, escalation paths and limits for autonomous empathic behavior; fail-safe and human-in-the-loop provisions.
• Data governance: consent, provenance, minimization, retention, and protections for sensitive affective data.
• Bias identification and mitigation practices for affect inference models and datasets.
• Privacy-preserving design controls and risk-based protections where affective or biometric data are used.
• Evaluation, testing and metrics: scenario-based safety testing, performance, robustness and psychosocial impact assessment.
• Operational monitoring, incident handling, user feedback channels and lifecycle review (including decommissioning).
• Context-specific limits on simulated empathy (e.g., vulnerable populations, therapeutic contexts) and guidance on appropriate use cases.

Typical use and users

Primary users include AI system designers and engineers, product managers, UX designers, data scientists, privacy and compliance teams, corporate ethics officers, risk managers, procurement specialists, regulators and policy-makers, academic researchers, and civil-society auditors. Typical uses include assessing and guiding the ethical design of customer service agents, companion robots, therapeutic chatbots, in-vehicle or assistive systems with affective features, and any software or device that senses or responds to users' emotional states.

Related standards

IEEE 7014-2024 is part of IEEE's broader body of standards and projects addressing ethical issues in autonomous and intelligent systems. Relevant documents and projects include IEEE 7000 (Model process for addressing ethical concerns in system design), IEEE 7001 (Transparency of autonomous systems), IEEE 7002 (Data privacy process), IEEE 7010 (Assessing impact on human well‑being), and ongoing/recommended practices such as IEEE P7014.1 (recommended practice for partner-based general-purpose AI) and other SSIT/AIS working group outputs (e.g., P7015, P7016 series).

Keywords

emulated empathy; empathic AI; affective computing; emotion AI; autonomous systems; ethics; transparency; consent; privacy; bias mitigation; human oversight; wellbeing; deployment; decommissioning.

FAQ

Q: What is this standard?

A: IEEE 7014-2024 is a standards document that establishes ethical considerations and both mandatory and recommended practices for systems that emulate empathy—i.e., systems that infer, model, or respond to human affective states.

Q: What does it cover?

A: It covers definitions and taxonomy, high-level ethical principles, mandatory disclosure and labeling, human oversight requirements, data governance for affective data, bias mitigation, privacy safeguards, testing and evaluation protocols, monitoring and incident response, and guidance for responsible deployment and decommissioning.

Q: Who typically uses it?

A: Practitioners across product, engineering, data science, UX, privacy/compliance and ethics roles; procurement and legal teams; regulators and standards bodies; researchers evaluating affective technologies; and auditors or assessors conducting ethical reviews.

Q: Is it current or superseded?

A: It is current. The document was published 28 June 2024 and is an active IEEE standard. Future revisions or related recommended practices (for example IEEE P7014.1) may extend or supplement it.

Q: Is it part of a series?

A: Yes — IEEE 7014-2024 sits within IEEE’s portfolio of autonomous and intelligent systems and ethical-technology standards (commonly referenced alongside the IEEE 7000 series and related SSIT/AIS projects and recommended practices).

Q: What are the key keywords?

A: Emulated empathy, empathic AI, affective computing, emotion AI, ethics, transparency, consent, privacy, human oversight, bias mitigation, wellbeing.