AI and accountability - Navigating responsibilities across the AI value chain

A&O Shearman
Contact

Accountability is a pervasive AI principle. But how to put it into practice?

Accountability is a pervasive AI principle. But how to put it into practice? If you’re reading this note, you likely already know three things: the technology is evolving quickly; the regulation is evolving quickly and without consensus; complications and nuance abound, often to a dizzying degree.

Rather than talk about how complicated it all is, we want to try and bring some welcome clarity by laying out the key questions and challenges companies will need to consider when building or deploying AI.

Please see full publication below for more information.

LOADING PDF: If there are any problems, click here to download the file.

DISCLAIMER: Because of the generality of this update, the information provided herein may not be applicable in all situations and should not be acted upon without specific legal advice based on particular situations. Attorney Advertising.

© A&O Shearman

Written by:

A&O Shearman
Contact
more
less

PUBLISH YOUR CONTENT ON JD SUPRA NOW

  • Increased visibility
  • Actionable analytics
  • Ongoing guidance

A&O Shearman on:

Reporters on Deadline

"My best business intelligence, in one easy email…"

Your first step to building a free, personalized, morning email brief covering pertinent authors and topics on JD Supra:
*By using the service, you signify your acceptance of JD Supra's Privacy Policy.
Custom Email Digest
- hide
- hide