Algorithmic Justice League

The Transportation Security Administration (TSA) has expanded facial recognition technology to at least 25 airports across the U.S.

Thousands of people daily are feeling forced to decide whether to travel or safeguard the privacy of their faces.

Go to FLY.AJL.ORG to fill out your TSA scorecard.

Know Before You Fly:

• TSA agents must inform passengers of their rights, and there must be clearly visible signage notifying passengers of their ability to proceed without a facial identification scan.

• Facial identification scans are not mandatory. Travelers opting out of this program should not encounter additional consequences or additional screenings, pat-downs, interrogations, or even detention, beyond what they would have encountered at a non-facial recognition airport. 
• Research has shown facial recognition algorithms can be less accurate at identifying people of color. A study published by the federal National Institute of Standards and Technology in 2019 found that Asian and African American people were up to 100 times more likely to be misidentified than White men, depending on the particular algorithm and type of search.

• Increasing mass biometric surveillance represents a risk to civil liberties and privacy rights. 

We are collecting information on your experience with facial recognition at a TSA checkpoint. This Algorithmic Justice League (AJL) survey will help us better understand your experience with facial recognition at airport checkpoints.

We don’t have to accept the tracking of our traces, the plunder of our data, or the snatching of our faces.

Go to FLY.AJL.ORG to fill out your TSA scorecard.

AJL is a research and advocacy organization with a mission to prevent AI harms and increase accountability in the use of AI systems. www.ajl.org

Algorithmic audits (or ‘AI audits’) are increasingly popular; however, they remain poorly defined. In this peer-reviewed paper, AJL provides the first comprehensive field scan of the AI audit ecosystem: we identify 438 people and 189 organizations who work on algorithmic audits; identify emerging best practices and barriers in AI auditing, and outline 6 policy recommendations to improve the quality and impact of AI audits. Our recommendations have implications for lawmakers, regulators, internal company policymakers, and standards-setting bodies, as well as for auditors. 

Please use the assets below to share across your social media accounts.

For a short overview of the whole paper see https://youtu.be/bH5TX7yyGCY

Learn more about the paper at AUDITORS.AJL.ORG

The IRS is still using IDme (a for-profit face verification company) for access to critical tax services. Besides capturing our sensitive face data , IDme’s Terms require you to waive your legal rights, grant access to your mobile carrier account, and give the company ownership of the data you upload. We deserve better.

(For more information, read this open letter by the Algorithmic Justice League's founder & Artist-in-Chief Dr. Joy Buolamwini.)

AJL is launching the No Case, No Face campaign to hold the government to its word and ensure every company that works for the government puts protecting our data and our livelihoods front and center. No private company should be allowed to gatekeep our critical tax info, handle sensitive data and use ineffective technologies all while avoiding any meaningful accountability. If you agree, we need to hear from you.

There is Hope.

Our stories together can make a difference, we can fight back against coerced consent. The Algorithmic Justice League is gathering these stories to help bolster the case. We should not have to submit our faces to access essential government services.

Share your experience with AJL so we can demand an alternative.

TAX.AJL.ORG

And please share the copy and graphics below to spread the word to people you know who may be harmed by this technology.