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HomeHomework Helpartificial-intelligenceExplainable AI and Privacy

Explainable AI and Privacy

The concepts and methods used to ensure transparency and trust in AI systems, including explainability, privacy-enhancing technologies, and approaches like federated learning and AI-generated synthetic data, which enable the collection, processing, and analysis of information while safeguarding personal data privacy

intermediate
3 hours
Artificial Intelligence
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Overview

Explainable AI (XAI) and Privacy-Enhanced Technologies (PETs) are crucial in today's AI landscape. XAI aims to make AI decisions understandable, fostering trust and accountability among users. This is particularly important in sensitive areas like healthcare and finance, where decisions can have sig...

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Key Terms

Explainable AI (XAI)
AI systems designed to provide understandable explanations for their decisions.

Example: A medical AI that explains its diagnosis based on patient data.

Privacy-Enhanced Technologies (PETs)
Technologies that protect personal data and enhance user privacy.

Example: Data anonymization techniques.

Transparency
The clarity with which AI systems communicate their processes and decisions.

Example: An AI that shows its decision-making steps.

Accountability
The obligation of AI systems to be answerable for their actions.

Example: A company being responsible for an AI's biased decision.

User Trust
The confidence users have in AI systems to act fairly and responsibly.

Example: Users trusting an AI to recommend products without bias.

Data Anonymization
The process of removing personally identifiable information from data sets.

Example: Changing names to codes in a dataset.

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Key Concepts

TransparencyAccountabilityData ProtectionUser Trust