AI Ethics: Publication Norms for Responsible AI (Part 2)
Event Information
Description
We are hosting this session to share our insights with the Partnership on AI for their work on publishing norms for high-stakes research drawing from our diverse perspectives and experience and having done so before for various other public consultations. Given that this will be a shorter session and focused on providing concrete recommendations, we encourage you to read the document beforehand and frame your contributions in line with the questions.
Link to the reading (Please make sure to read through the Key Questions and Challenges section for background and the Resources section for more information): https://www.partnershiponai.org/case-study/publication-norms/
Questions that we will be working on:
1) What can we learn from other fields dealing with high-stakes technology, and from history?
2) What are the potential pitfalls of changing the existing status quo of publishing norms?
3) How can we encourage researchers to think about the risks of their works, as well as the benefits?
4) What tools or services need to exist to help people navigate publications decisions?
5) How can we design effective review processes?
6) How do we coordinate effectively as a community?
Please note that details on how to join online will be shared prior to the event in an email.
Here's some more information on what you can expect from our events:
Our meetups use a flipped classroom model:
- You do the reading(s) before showing up to the event.
- When you show up, we split up into groups to discuss and take notes.
- Afterward, we reconvene to share our findings with the larger group.
We will be sharing publicly the discussions had during the session keeping in line with our commitment to building public competence and sharing work in an open-source, open-access model.
If you have suggestions for other readings that might be useful, please email: support@montrealethics.ai