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Published on Feb 28, 2023

Task Force on Responsible Use of Generative AI for Law

Ensuring due diligence and responsible use of Generative AI for law and legal processes

by Dazza Greenwood
Published onFeb 28, 2023
Task Force on Responsible Use of Generative AI for Law
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You're viewing an older Release (#3) of this Pub.

  • This Release (#3) was created on Mar 19, 2023 ()
  • The latest Release (#9) was created on Feb 09, 2024 ().

The research arm of law.MIT.edu is convening an experts and stakeholders group to examine and report upon principles and guidelines for applying due diligence and legal assurance applicable to Generative AI for law and legal processes.

The purpose of this Task Force is to develop principles and guidelines on ensuring factual accuracy, accurate sources, valid legal reasoning, alignment with professional ethics, due diligence, and responsible use of Generative AI for law and legal processes.

As with the Task Force on Privacy Principles for COVID-19 Contact Tracing and the Task Force on Computational Law for Combating Modern Slavery, the published materials of this Task Force will be available under Creative Commons open license terms.

This page will include or link to the Task Force’s draft materials, public comment opportunities, and the final principles and guidelines.

  • Use this link for the most up-to-date version of this page.

  • Use this form to request Task Force updates and to be notified when the final report is published.

  • Find more information on the use of Generative AI for law and legal processes here.

License
Creative Commons Attribution 4.0 International License (CC-BY 4.0)
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Isabella Borjas:

Thank you for the insightful article on the responsible use of generative AI in law. It provides a valuable framework for integrating generative AI technologies while maintaining ethical standards and safeguarding client interests. Your comprehensive analysis and recommendations are crucial for advancing generative AI development responsibly and ensuring that AI innovations serve the legal profession effectively and ethically.

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MIT Computational Law Report
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