As more organizations use AI and algorithmic systems, there is a need
for practitioners, industry leaders, managers, and executives to take
part in making AI responsible. In this workshop, we’ll provide you
with an overview of algorithmic transparency, along with a playbook
detailing how to influence change and implement transparency at your
organization.
Event details:
Title: Algorithmic transparency for practitioners
Time & Date: Tuesday, December 12, 12:00 pm to 2:00 pm ET (lunch will be served at 11:30am)
Venue: Tandon Future Labs, 370 Jay St, 7th Floor (in-person)
You must register to attend. This workshop is offered free of
charge. Space is limited and will be allocated on a first-come
first-served basis. RSVP for the workshop at
this link.
@inproceedings{bellstoyanovich_eaai25,title={Making Transparency Advocates: An Educational Approach Towards Better Algorithmic Transparency in Practice},author={Bell, Andrew and Stoyanovich, Julia},year={2025},volume={39},pages={28964-28972},booktitle={Proceedings of the AAAI Conference on Artificial Intelligence},keywords={conference,education,policy,transparency,playbook},doi={10.1609/aaai.v39i28.35165},url={https://doi.org/10.1609/aaai.v39i28.35165}}
The Algorithmic Transparency Playbook: A Stakeholder-first Approach
to Creating Transparency for Your Organization’s Algorithms
Andrew Bell, Oded Nov, and Julia Stoyanovich
In Extended Abstracts of the 2023 CHI Conference on Human Factors in
Computing Systems, CHI EA 2023, Hamburg, Germany, April 23-28,
2023 2023
@inproceedings{DBLP:conf/chi/BellNS23,author={Bell, Andrew and Nov, Oded and Stoyanovich, Julia},title={The Algorithmic Transparency Playbook: {A} Stakeholder-first Approach
to Creating Transparency for Your Organization's Algorithms},booktitle={Extended Abstracts of the 2023 {CHI} Conference on Human Factors in
Computing Systems, {CHI} {EA} 2023, Hamburg, Germany, April 23-28,
2023},pages={554:1--554:4},publisher={{ACM}},year={2023},site={https://r-ai.co/transparency-playbook},doi={10.1145/3544549.3574169},keywords={panel,policy,explanability,education,playbook,governance},addendum={peer-reviewed course},author+an={1=self;3=self}}
Think About the Stakeholders First! Towards an Algorithmic Transparency
Playbook for Regulatory Compliance
@article{bell_nov_stoyanovich_2023,author={Bell, Andrew and Nov, Oded and Stoyanovich, Julia},title={Think About the Stakeholders First! {T}owards an Algorithmic Transparency
Playbook for Regulatory Compliance},volume={5},journal={Data \& Policy},publisher={Cambridge University Press},year={2023},keywords={journal,policy,explainability,education,playbook,governance},}
The Algorithmic Transparency Playbook: A Stakeholder-first Approach to Creating Transparency for Your Organization’s AlgorithmsIn Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems, CHI EA 2023, Hamburg, Germany, April 23-28, 2023 2023