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Right to explanation

As explained in Introduction to Generative AI, Second Edition

The right to explanation is an individual's entitlement to meaningful information about the logic behind certain automated decisions affecting them.

When an automated system makes a consequential decision—such as whether someone receives home insurance—an affected person may ask the company how or why it reached that result. section 10.30

The right to explanation is an individual's entitlement to meaningful information about the logic behind certain algorithmic decisions based on personal data. Under the General Data Protection Regulation (GDPR), it is also linked to limits on unsupervised automated decisions affecting legal rights. section 10.30

The surrounding safeguards emphasize that:

  • Significant decisions affecting legal rights should not be made without human supervision. section 10.30
  • Algorithmic decisions can have concrete consequences, as shown by Uber drivers reinstated after unfair algorithmic termination in the Netherlands. section 10.30

How Introduction to Generative AI, Second Edition covers it

How deep it goes
Defines the entitlement and illustrates its implications, but does not detail a complete legal test or explanation method.
Examples
Uses home-insurance decisions and Uber’s reinstatement of drivers terminated by algorithmic means.
What you can do after
Evaluate and understand when to question automated decisions and seek meaningful information about their logic.
How it connects
Connects the concept to GDPR, data privacy, human supervision, and algorithmic accountability.

This explainer was generated by Manning's knowledge graph from the text of Introduction to Generative AI, Second Edition. The section links point to the parts of the book it draws on.