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ISO/IEC TR 24368:2022
A standard that overviews ethical and societal concerns for AI
Discover ISO/IEC 8183, the standard defining the 10 stages of the AI system life cycle, from idea conception to decommissioning. This framework ensures efficient data management and compliance, guiding organizations of all sizes in developing and operating AI systems.
Ethical and Societal concerns of AI
Standard ISO/IEC TR 24368 provides a high-level overview of AI ethical and societal concerns that should play a key role for decision making that occurs at all phases of the AI lifecycle. The standard outlines principles, processes, and methods for approaching and contextualizing AI ethics. It is intended for technologists, regulators, interest groups, and society at large. It is not intended to advocate for any specific set of values (value systems).
This standard also presents an overview of other International Standards that address specific issues arising from AI ethical and societal concerns.
Core Ethical Principles in AI
ISO/IEC 24368 emphasizes a values-neutral approach to ethics, allowing organizations to adapt the standard to their unique cultural and operational contexts. Key principles include:
- Transparency: Ensuring AI systems provide clear and understandable explanations for their decisions.
- Accountability: Defining clear roles and responsibilities for ethical oversight throughout the AI lifecycle.
- Fairness: Promoting inclusivity and equity by mitigating biases in AI models and datasets.
- Privacy and Security: Safeguarding user data and ensuring robust measures against unauthorized access or misuse.
Processes and Methods for Ethical AI Development
The standard outlines actionable methods for integrating ethical considerations, including:
- Ethical Risk Assessments: Identifying potential ethical risks at each stage of AI development and deployment.
- 2. Stakeholder Engagement: Involving diverse perspectives to ensure societal values are reflected in AI systems.
- 3. Iterative Evaluation: Continuously reviewing AI systems to adapt to evolving ethical and societal expectations.
Complementary Standards for Ethical AI
ISO/IEC 24368 serves as a foundational document, referencing other International Standards that address specific ethical concerns, such as ISO/IEC 24028 (AI robustness) and ISO/IEC 27001 (information security). Together, these standards provide a comprehensive framework for responsible AI governance.
Why Ethics Matter in AI
As AI becomes more integral to society, addressing ethical and societal concerns is crucial for building trust, fostering innovation, and ensuring positive outcomes for all stakeholders. ISO/IEC 24368 equips organizations with the tools and knowledge to navigate these challenges responsibly.
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