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What are the UK MOD AI Ethics Principles and why do we have them?
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How can the MOD AI Principles help me assess and manage ethical risk?
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How often are ethical risk assessments required?
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What legal considerations must I be aware of when assessing and managing ethical risk?
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What does Bias and Harm Mitigation mean in the context of AI development for UK Defence?
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What’s the difference between morality, ethics, and law? Where do our ideas about right and wrong come from?
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What is consequentialism - can the ends justify the means in certain situations?
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What is deontology - are some actions just always right or wrong?
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Can going to war ever be ethically justified?
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Does war have rules?
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Can it ever be acceptable to harm the innocent?
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Are there some actions in war that are absolutely forbidden regardless of the situation, or could there ever be a justification to override ethical rules?
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What are the key considerations in the "ethics of risk"?
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What do we mean by “across the entire lifecycle”?
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What do we mean by "assessing for the full range of effects"?
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How do we balance or choose between competing Principles?
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Who or what should be considered stakeholders for AI-enabled systems?
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How do you identify ethical risk?
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What do we mean by "bias"? How can I address bias in algorithmic decision-making?
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What do we mean by "harms" and what are they?
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If the AI-enabled system did not work as intended, what is the worst thing that could happen?
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Case Study: Armed Forces Recruitment – Ensuring Privacy and Minimising Bias
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Case Study: Human Machine Teaming – Ensuring Equity of Opportunity
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JSP 936: Dependable Artificial Intelligence (AI) in Defence (Part 1: Directive)
