Practitioner Training – Algorithmic Transparency Workshop | Welcome to the Center for Responsible AI at New York University

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.

Presenters: Andrew Bell and Julia Stoyanovich.

Read more about this workshop

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

Cite PDF online resource

@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

Andrew Bell, Oded Nov, and Julia Stoyanovich

Data & Policy 2023

Cite PDF

@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},
}