Lecture

Data Ethics: Al & Equality

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Description

This lecture covers the ethical considerations related to data ethics, focusing on fairness, justice, and the broader implications of Al systems. It delves into the importance of contextual fairness, equality, and the ethical challenges faced by designers in ensuring fairness in Al systems. The instructor discusses the ethical questions surrounding data collection, protection, and governance, emphasizing the need for transparency and accountability. The lecture also explores the impact of datafication on society, the ambition to document data comprehensively, and the structural pressures on diversity and freedom. Furthermore, it addresses the ethical considerations in algorithmic decision-making, highlighting the trade-offs and challenges in designing and fine-tuning models.

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Related concepts (32)

Machine ethics

Machine ethics (or machine morality, computational morality, or computational ethics) is a part of the ethics of artificial intelligence concerned with adding or ensuring moral behaviors of man-made machines that use artificial intelligence, otherwise known as artificial intelligent agents. Machine ethics differs from other ethical fields related to engineering and technology. Machine ethics should not be confused with computer ethics, which focuses on human use of computers.

Ethical consumerism

Ethical consumerism (alternatively called ethical consumption, ethical purchasing, moral purchasing, ethical sourcing, or ethical shopping and also associated with sustainable and green consumerism) is a type of consumer activism based on the concept of dollar voting. People practice it by buying ethically made products that support small-scale manufacturers or local artisans and protect animals and the environment, while boycotting products that exploit children as workers, are tested on animals, or damage the environment.

Ethics of artificial intelligence

The ethics of artificial intelligence is the branch of the ethics of technology specific to artificially intelligent systems. It is sometimes divided into a concern with the moral behavior of humans as they design, make, use and treat artificially intelligent systems, and a concern with the behavior of machines, in machine ethics. Robot ethics The term "robot ethics" (sometimes "roboethics") refers to the morality of how humans design, construct, use and treat robots. Robot ethics intersect with the ethics of AI.

Robot ethics

Robot ethics, sometimes known as "roboethics", concerns ethical problems that occur with robots, such as whether robots pose a threat to humans in the long or short run, whether some uses of robots are problematic (such as in healthcare or as 'killer robots' in war), and how robots should be designed such that they act 'ethically' (this last concern is also called machine ethics). Alternatively, roboethics refers specifically to the ethics of human behavior towards robots, as robots become increasingly advanced.

Ethical egoism

In ethical philosophy, ethical egoism is the normative position that moral agents ought to act in their own self-interest. It differs from psychological egoism, which claims that people can only act in their self-interest. Ethical egoism also differs from rational egoism, which holds that it is rational to act in one's self-interest. Ethical egoism holds, therefore, that actions whose consequences will benefit the doer are ethical. Ethical egoism contrasts with ethical altruism, which holds that moral agents have an obligation to help others.

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