AI Ethics and Morality

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Questions and Answers

Which of the following scenarios exemplifies a violation of fairness in AI systems?

An AI model accurately predicts customer behavior based on historical transaction data.
An AI-powered recruitment tool systematically favors male candidates over equally qualified female candidates. (correct)
An AI algorithm provides personalized recommendations for online shopping based on user browsing history.
An AI system optimizes traffic flow in a city to reduce congestion for all commuters.

If an AI system makes a mistake that causes harm, the developers and engineers who designed the AI are always solely responsible, regardless of the context.

False (B)

Briefly explain how the principle of 'inclusion' relates to AI ethics.

The principle of inclusion in AI ethics involves making sure AI benefits a wide range of users of different backgrounds and abilities. AI should be developed so that it reflects a collective approach.

_______ in AI systems can lead to unjust outcomes, such as unequal access to opportunities or resources.

<p>Bias</p> Signup and view all the answers

Match the AI Ethics principles with their corresponding descriptions:

<p>Human Rights = Ensuring AI systems respect fundamental rights and freedoms. Bias = Addressing prejudice and discrimination in AI algorithms. Privacy = Protecting sensitive information and ensuring data security. Inclusion = Promoting equitable access and benefits for all users.</p> Signup and view all the answers

Flashcards

Fairness in AI

AI systems should not discriminate or perpetuate biases based on race, gender, age, or other attributes.

AI Ethics

The study and application of moral principles to the design, development, and deployment of AI systems, ensuring AI benefits humanity while avoiding harm.

AI Responsibility

Responsibility for AI harm may involve developers, companies, and regulators. Clear frameworks are needed for accountability.

AI and Human Rights

AI should respect fundamental rights and freedoms. It should avoid actions that infringe upon human dignity, autonomy, and well-being.

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AI Inclusion

AI should be developed inclusive of all backgrounds, beliefs, and identities, to promote equitable outcomes and avoid marginalizing any groups.

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Study Notes

Ethics and Morality

Learning Objectives

Understand the concept of Ethics and Morals.
Explore various Ethics with Personal Data, Issues around Al Ethics, Al Ethics Principles.

Success Criteria

Familiarize yourself with Al ethics and issues around Al ethics.
Understand ethical principles for safer Al.

AI Ethics

AI Ethics involves studying and applying moral principles to the design, development, and deployment of artificial intelligence systems.
A key focus is ensuring Al benefits humanity while avoiding harm.

Fairness in AI Systems

Fairness is important because it ensures Al systems do not discriminate or perpetuate biases (e.g., based on race, gender, age).
Bias in Al can lead to unjust outcomes, like unequal access to opportunities or resources.