Social Work Tech Talk: Facing Up to Facial Recognition

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by Gina Griffin, DSW, MSW, LCSW

     We reside in a time when {our relationships} with know-how are complete and complex, and there are only a few arenas left the place we received’t be requested or required to work together with know-how. There are new developments daily, and it may be exhausting to maintain up. I do know that it’s exhausting sufficient to maintain up with household physician appointments, consumer notes, {and professional} growth on any given day. So, I’m hoping that by serving as your information on these dips into know-how, I can assist you to have a barely higher concept of what’s occurring out right here.

Facial Recognition

     At present, we’re having a look at facial recognition. I keep in mind being a lot youthful and watching motion pictures like Minority Report, and this appeared like a factor of the longer term. However the future is right here. Facial recognition is being utilized in on a regular basis duties like unlocking your cellphone. It’s additionally utilized in extra weighty conditions, corresponding to offering suspect matches in regulation enforcement, and in serving to airport security checks to proceed in a quick and orderly vogue. On the floor, this most likely appears simply effective. When used appropriately, it’s exhausting to argue towards the usefulness of the know-how, and many individuals appear to approve. For instance, in a 2023 CBS 2 NY phase on facial recognition, many purchasers at a Fairway grocery retailer in Decrease Manhattan permitted of the usage of one of these know-how to help to keep the cost of groceries down by deterring shoplifting.

     Sadly, there’s often additionally a draw back to the usage of all these applied sciences. And the burden of these issues can include a reasonably excessive value.

When Facial Recognition Will get It Incorrect

     The usage of facial recognition software program has already led to a number of wrongful arrests. For example, in August of 2023, the Detroit Police Division made its third wrongful arrest based on facial recognition. The lady in query was eight months pregnant on the time, and it’s alarming to think about the unfavorable well being results that would have resulted from her arrest and detainment. In one other instance, a Texas man was wrongfully arrested for armed robbery primarily based on a facial recognition match. He was held in jail for 2 weeks, throughout which period he was sexually assaulted and crushed by different inmates. It was later confirmed that the accused wasn’t even within the state on the time the theft occurred. He has been launched and is suing a number of of the organizations concerned within the fiasco.

     So, it’s fairly straightforward to see how facial recognition know-how, when it’s used within the flawed context and when it fails, can have a really unfavorable impression on most people and with at-risk populations that we work with as social staff.

inequity and Facial Recognition 

     Harvard scholar Alex Najibi particulars a number of methods by which facial recognition places marginalized communities more at risk. First, facial recognition could be very poor at matching folks of coloration. It’s at its worst in relation to recognizing younger, dark-skinned, African American females ages 18-30. On this inhabitants, the error margin is 34% higher than it is for males with light skin.

     Second, communities of coloration are already over-policed. Which means that there are extra Black folks arrested for minor crimes, and there are subsequently extra mugshots of African People developing within the databases. Consequently, this technique turns into a part of a suggestions loop by which folks in these communities usually tend to be singled out as a result of they’re watched extra carefully than these in non-Black neighborhoods.

     Third, coaching information units usually embody far more data on faces that are white and male. Samples of African People are additionally usually of poor high quality, so the techniques which have been educated are resultantly very poor at figuring out African American faces.

     None of it is a shock to anybody who has been maintaining with issues associated to AI, facial recognition, and different superior applied sciences. Nevertheless it undoubtedly bears repeating.

Encryption, Consent, and Opting Out

     Most regarding is that at this level, facial data can’t be encrypted. And facial scans are simpler to steal than different forms of biometric information. So, whilst you can replace your passwords, you’re not going to have the ability to simply alter your face in case your information is stolen.

     Moreover, a lot of the surveillance is finished without proper consent of individuals from whom the info is gathered. Additionally it is usually accomplished throughout a number of companies, a few of these being third-party companies that ought to not rightfully have entry to the info.

     So, is there any hope of defending ourselves from the improper use of facial recognition surveillance? The reply is sure, however we have to be vigilant. Teams corresponding to The Algorithmic Justice League and ISACA (Info Techniques Audit and Management Affiliation) work to deal with dangers and inequities in these areas. And as social staff, we are able to advocate for applicable consent and transparency in the usage of facial recognition applied sciences, correctly secured information, privateness protocols, and accountability for everybody concerned in utilizing these applied sciences.

     Moreover, activists corresponding to Y. Ok. Hong remind us that we still have the option to opt out of most forms of biometric information gathering, they usually state that they achieve this each time. They state that airways and regulation enforcement don’t prefer it whenever you choose out, however that there’s nonetheless usually the choice to make use of one other type of ID. After all, additionally they notice that for already marginalized teams, this could place them extra in danger, and to maintain this in thoughts when selecting to choose out.

     I hope that a few of this lets you make good decisions in relation to facial recognition. I’ll report extra broadly on different forms of biodata gathering within the close to future. And I can guarantee you that I by no means voluntarily share my biodata with anybody.

Dr. Gina Griffin, DSW, MSW, LCSW, is a Licensed Medical Social Employee. In 2012, she accomplished her Grasp of Social Work at College of South Florida. And in 2021, she accomplished her DSW on the College of Southern California. She started to study R Programming for information evaluation so as to develop her research-related expertise. She now teaches programming and information science expertise by way of her web site (A::ISWR) and free Saturday morning #swRk workshops.



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