Ethical Frameworks for AI - Free MCQ Practice Test with solutions,

Ethical frameworks guide AI development to avoid bias, discrimination, and unintended harm, ensuring responsible AI.

Rights-based frameworks emphasize individual autonomy, dignity, and protection against discrimination.

Utility-based ethics assess actions by their outcomes, striving for the greatest good for the greatest number.

Non-maleficence means “do no harm” and is a core bioethics principle ensuring AI does not cause harm.

Transparency ensures users can understand how AI makes decisions, promoting trust and accountability.

Justice requires equitable treatment of all individuals, ensuring fairness regardless of background.

Reducing bias involves training AI on diverse, representative datasets and ensuring fairness in design.

Sector-based ethical frameworks are designed for the unique challenges and responsibilities of particular industries.

For example:

• Healthcare: Focuses on patient safety, confidentiality, and informed consent.

• Finance: Emphasizes fairness, transparency, and avoiding conflicts of interest.

They are not general principles for all fields, nor are they only about privacy, and they can be applied to AI within those industries.

So, Correct Option: B

Ignoring ethics can lead to harmful outcomes like incorrect patient risk assessments and unequal treatment.

Virtue-based ethics focus on moral character traits like honesty and integrity throughout AI development and use.