Responsible AI treats fairness, privacy, and trustworthiness as dimensions of production reliability: a system that discriminates or leaks data is unreliable regardless of its accuracy. Sustaining that reliability involves detecting and mitigating bias, protecting privacy, making AI decisions transparent, and establishing governance. section 1.4.3
Responsible AI
Practices that address the safety, fairness, accountability, transparency, and societal impact of AI systems.
How Building Reliable AI Systems covers it
- How deep it goes
- Names bias mitigation, privacy protection, decision transparency, and governance without detailing their procedures.
- What you can do after
- Apply bias-detection, privacy-protection, transparency, and governance practices to support trustworthy AI systems.
- How it connects
- Connects responsible AI with AI reliability, fairness, privacy, transparency, and governance.
Also explained in
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Generative AI in ActionResponsible AI is the practice of developing and operating artificial intelligence in ways that address safety, fairness, accountability, transparency, and related societal risks.
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Introduction to Generative AI, Second EditionResponsible AI adoption is the uptake and use of artificial-intelligence systems with attention to safety, ethics, accountability, and societal impacts.
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First-Party Data ActivationPractices for developing and operating artificial intelligence in ways that address fairness, accountability, transparency, safety, and societal impact.
Compare how 4 books explain responsible AI →
Related concepts
- content filteringused by · Content filtering is the inspection of content against defined criteria to determine whether it should be blocked, modified, flagged, or removed.
- privacyhas part · Privacy is the protection and controlled handling of information or activities to prevent inappropriate access, collection, use, or disclosure.
- bias detectionhas part · Bias detection is the systematic assessment of data, decisions, or system behavior to identify distortions or unjustified disparities across groups or conditions.
- compliancecontrasts with · Compliance is conformity with applicable legal, regulatory, contractual, policy, or other governing requirements.
- Azureused by · Azure is Microsoft's public cloud computing platform, providing on-demand infrastructure, application hosting, and managed services.
- Azure OpenAIconfigured by · Azure OpenAI Service is Microsoft’s managed Azure cloud service for accessing OpenAI models through Azure-hosted deployments, APIs, infrastructure, and controls.
This explainer was generated by Manning's knowledge graph from the text of Building Reliable AI Systems. The section links point to the parts of the book it draws on.