ACC5044-Ethical dilemmas

Human Rights and Well-Being
AI is in the best interests of humanity and human well-being

• Strongly agree

• Agree

• Disagree

• Strongly disagree

Emotional Harm
Describe a scenario where AI might cause emotional or mental harm. What measures could be implemented to prevent this harm?

Evaluate responses using AI:

OFF

Accountability and Responsibility
Who should be held accountable when an AI system causes harm?

• The developers who created the AI

• The company that deployed the AI

• The user who interacted with the AI

• All of the above

Security, Privacy, Accessibility, and Transparency
Rank the following aspects in order of importance when developing AI systems:

• Privacy

• Accessibility

• Security

• Transparency

Safety and Trust
An AI system mistakenly identifies a non-threatening situation as a threat. What steps should be taken to regain public trust?

Evaluate responses using AI:

OFF

Social Harm and Social Justice
Which approach is most effective in reducing AI bias and discrimination?

• Regular audits for bias in AI systems

• Diverse teams developing AI software

• Legal penalties for deploying biased systems

• User feedback mechanisms to report concerns

Financial Harm
AI development should be restricted to prevent significant job displacement

• Strongly agree

• Agree

• Disagree

• Strongly disagree

Lawfulness and Justice
What key elements should be included in laws regulating AI to ensure they are just and equitable?

Evaluate responses using AI:

OFF

Control and the Ethical Use – or Misuse – of AI
Which measure is most crucial to prevent the unethical use of AI?

• Strict international laws governing AI use

• Ethical training for AI developers

• Public awareness campaigns about AI capabilities

• Technological restrictions on AI learning capabilities

Environmental Harm and Sustainability
An AI requires enormous computational power that contributes to significant carbon emissions. What steps should be taken to mitigate environmental impact?

• Invest in green computing technologies

• Limit the use of high-power AI applications

• Carbon offsetting for AI research and use

• Prioritize research into more efficient AI