AI Ethics Resources for Engineers
Practical tools and guides for responsible AI implementation
Discover curated checklists, templates, and frameworks to help you apply ethical principles in real-world engineering projects.
Practical tools and guides for responsible AI implementation
Discover curated checklists, templates, and frameworks to help you apply ethical principles in real-world engineering projects.
Download and use these proven resources to integrate ethics and safety into your daily AI engineering practice.
Step-by-step checklist to evaluate your AI projects for ethical compliance, transparency, and fairness.
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A practical guide with templates to embed ethical practices in every AI engineering phase.
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A set of real-world engineering case studies with ethical analyses and actionable lessons.
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Easy-to-use worksheet to identify, rate, and plan the mitigation of ethical risks in your AI projects.
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Understand core ethical principles and how to apply them throughout the AI engineering lifecycle.
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Mitigation strategies and best practices for reducing bias in real-world data and models.
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Toolkit and explainer for building and validating fair AI-powered systems step-by-step.
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Draft your organization’s AI ethics policy using this adaptable template.
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Structured form for documenting the societal and technical impact of AI systems.
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Template for producing clear, consistent ethics review reports for AI initiatives.
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