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HomeHomework Helpcomputer-scienceEthical AI Practices

Ethical AI Practices

The principles and guidelines that govern the development and use of AI systems, including Fair Information Practices (FIPPs), European Court of Human Rights, and Organization for Economic Cooperation and Development principles, which provide a framework for ensuring accountability, access, and amendment of personal information

intermediate
3 hours
Computer Science
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Overview

Ethical guidance on AI and fair information practices is essential in today's technology-driven world. As AI systems become more integrated into our daily lives, ensuring that they operate fairly, transparently, and accountably is crucial. This involves understanding the implications of bias, the im...

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Key Terms

Bias
A systematic error that leads to unfair outcomes in AI.

Example: An AI hiring tool that favors one gender over another.

Transparency
The clarity and openness of AI processes and decisions.

Example: Explaining how an AI model makes decisions.

Data Privacy
The protection of personal data from unauthorized access.

Example: Using encryption to secure user data.

Accountability
Responsibility for the outcomes of AI systems.

Example: A company being held liable for biased AI decisions.

Fairness
The quality of being free from bias or injustice.

Example: Ensuring equal treatment in AI-driven loan approvals.

User Consent
Permission given by users for their data to be used.

Example: A user agreeing to data collection for personalized ads.

Related Topics

Data Ethics
Explores the ethical implications of data collection and usage.
intermediate
Algorithmic Bias
Focuses on understanding and mitigating biases in algorithms.
advanced
Privacy Laws
Covers regulations governing data privacy and protection.
intermediate

Key Concepts

FairnessTransparencyAccountabilityData Privacy