Interesting question to ask before implementing an AI system, “Can we explain this to a jury?” (Can your AI Expert explain it?)
https://www.bespacific.com/the-right-to-contest-ai/
The Right to Contest AI
Kaminski, Margot E. and Urban, Jennifer M., The Right to Contest AI (November 16, 2021). Columbia Law Review, Vol. 121, No. 7, 2021, U of Colorado Law Legal Studies Research Paper No. 21-30, Available at SSRN: https://ssrn.com/abstract=3965041 –
“Artificial intelligence (AI) is increasingly used to make important decisions, from university admissions selections to loan determinations to the distribution of COVID-19 vaccines. These uses of AI raise a host of concerns about discrimination, accuracy, fairness, and accountability. In the United States, recent proposals for regulating AI focus largely on ex ante and systemic governance. This Article argues instead—or really, in addition—for an individual right to contest AI decisions, modeled on due process but adapted for the digital age. The European Union, in fact, recognizes such a right, and a growing number of institutions around the world now call for its establishment. This Article argues that despite considerable differences between the United States and other countries, establishing the right to contest AI decisions here would be in keeping with a long tradition of due process theory. This Article then fills a gap in the literature, establishing a theoretical scaffolding for discussing what a right to contest should look like in practice. This Article establishes four contestation archetypes that should serve as the bases of discussions of contestation both for the right to contest AI and in other policy contexts. The contestation archetypes vary along two axes: from contestation rules to standards and from emphasizing procedure to establishing substantive rights. This Article then discusses four processes that illustrate these archetypes in practice, including the first in depth consideration of the GDPR’s right to contestation for a U.S. audience. Finally, this Article integrates findings from these investigations to develop normative and practical guidance for establishing a right to contest AI.”
(Related) The first wave of contests?
https://www.bespacific.com/feds-warn-employers-against-discriminatory-hiring-algorithms/
Feds Warn Employers Against Discriminatory Hiring Algorithms
Wired: “As companies increasingly involve AI in their hiring processes, advocates, lawyers, and researchers have continued to sound the alarm. Algorithms have been found to automatically assign job candidates different scores based on arbitrary criteria like whether they wear glasses or a headscarf or have a bookshelf in the background. Hiring algorithms can penalize applicants for having a Black-sounding name, mentioning a women’s college, and even submitting their résumé using certain file types. They can disadvantage people who stutter or have a physical disability that limits their ability to interact with a keyboard. All of this has gone widely unchecked. But now, the US Department of Justice and the Equal Employment Opportunity Commission have offered guidance on what businesses and government agencies must do to ensure their use of AI in hiring complies with the Americans with Disabilities Act. “We cannot let these tools become a high-tech pathway to discrimination,” said EEOC chair Charlotte Burrows in a briefing with reporters on Thursday. The EEOC instructs employers to disclose to applicants not only when algorithmic tools are being used to evaluate them but what traits those algorithms assess. “Today we are sounding an alarm regarding the dangers tied to blind reliance on AI and other technologies that we are seeing increasingly used by employers,” assistant attorney general for civil rights Kristen Clark told reporters in the same press conference. “Today we are making clear that we must do more to eliminate the barriers faced by people with disabilities, and no doubt: The use of AI is compounding the long-standing discrimination that job seekers with disabilities face.”
Keeping current.
https://www.theregister.com/2022/05/18/fraud_economy_booms/
State of internet crime in Q1 2022: Bot traffic on the rise, and more
The fraud industry, in some respects, grew in the first quarter of the year, with crooks putting more human resources into some attacks while increasingly relying on bots to carry out things like credential stuffing and fake account creation.
That's according to Arkose Labs, which claimed in its latest State of Fraud and Account Security report that one in four online accounts created in Q1 2022 were fake and used for fraud, scams, and the like.
If I can sign in with a photo, can I hack in the same way?
Mastercard launches tech that lets you pay with your face or hand in stores
Mastercard is piloting new technology that lets shoppers make payments with just their face or hand at the checkout point.
… The program has already gone live in five St Marche grocery stores in Sao Paulo, Brazil. Mastercard says it plans to roll it out globally later this year.
… To sign up on Mastercard, you take a picture of your face or scan your fingerprint to register it with an app. This is done either on your smartphone or at a payment terminal. You can then add a credit card, which gets linked to your biometric data.
Face it, we still have a lot to learn about the use of faces.
Letter to the Standing Committee on Access to Information, Privacy and Ethics on their Study of the Use and Impact of Facial Recognition Technology
The Privacy Commissioner of Canada, Daniel Therrien has sent the following letter to the Standing Committee on Access to Information, Privacy and Ethics to provide information requested during his appearance before the Committee on May 2, 2022.
[…]
Recommended legal framework for police use of facial recognition technology
During the appearance, I undertook to provide the committee with a copy of our Recommended legal framework for police agencies’ use of facial recognition Footnote1, which was issued jointly by Federal, Provincial and Territorial Privacy Commissioners on May 2, 2022. Our recommended framework sets out our views on changes needed to ensure appropriate regulation of police use of facial recognition technology (FRT) in Canada. A future framework should, we believe, establish clearly and explicitly the circumstances in which police use of FRT is acceptable – and when it is not. It should include privacy protections that are specific to FRT use, and it should ensure appropriate oversight when the technology is deployed. While developed specifically for the policing context, there are many elements of our proposed that could be leveraged beyond this context.
Best practices for FRT regulation
The committee requested that I provide examples of best practices for regulating FRT from jurisdictions where regulatory frameworks have been enacted or proposed. Several international jurisdictions have enacted or proposed regulatory frameworks for FRT specifically, or biometrics more broadly that would also apply to FRT, which could inspire Canada’s approach. In particular, I would draw your attention to a number of notable measures worthy of consideration:
Read the full letter at the Office of the Privacy Commissioner of Canada.
My AI says, “Probably not so.”
https://finance.yahoo.com/news/game-over-google-deepmind-says-133304193.html
‘The Game is Over’: Google’s DeepMind says it is on verge of achieving human-level AI
Human-level artificial intelligence is close to finally being achieved, according to a lead researcher at Google’s DeepMind AI division.
Dr Nando de Freitas said “the game is over” in the decades-long quest to realise artificial general intelligence (AGI) after DeepMind unveiled an AI system capable of completing a wide range of complex tasks, from stacking blocks to writing poetry.
Described as a “generalist agent”, DeepMind’s new Gato AI needs to just be scaled up in order to create an AI capable of rivalling human intelligence, Dr de Freitas said.
Responding to an opinion piece written in The Next Web that claimed “humans will never achieve AGI”, DeepMind’s research director wrote that it was his opinion that such an outcome is an inevitability.
“It’s all about scale now! The Game is Over!” he wrote on Twitter.
“It’s all about making these models bigger, safer, compute efficient, faster at sampling, smarter memory, more modalities, innovative data, on/offline... Solving these challenges is what will deliver AGI.”
When asked by machine learning researcher Alex Dimikas how far he believed the Gato AI was from passing a real Turing test – a measure of computer intelligence that requires a human to be unable to distinguish a machine from another human – Dr de Freitas replied: “Far still.”
Closer to safe self-driving cars or a new way to reduce employee headcount?
Ford-backed robotaxi start-up Argo AI is ditching its human safety drivers in Miami and Austin
Robotaxi start-up Argo AI said Tuesday it has begun operating its autonomous test vehicles without human safety drivers in two U.S. cities — Miami and Austin, Texas — a major milestone for the Ford- and Volkswagen-backed company.
For now, those driverless vehicles won't be carrying paying customers. But they will be operating in daylight, during business hours, in dense urban neighborhoods, shuttling Argo AI employees who can summon the vehicles via a test app.
After that first ethical question…
https://news.mit.edu/2022/living-better-algorithms-sarah-cen-0518
Living better with algorithms
Laboratory for Information and Decision Systems (LIDS) student Sarah Cen remembers the lecture that sent her down the track to an upstream question.
At a talk on ethical artificial intelligence, the speaker brought up a variation on the famous trolley problem, which outlines a philosophical choice between two undesirable outcomes.
The speaker’s scenario: Say a self-driving car is traveling down a narrow alley with an elderly woman walking on one side and a small child on the other, and no way to thread between both without a fatality. Who should the car hit?
Then the speaker said: Let’s take a step back. Is this the question we should even be asking?
That’s when things clicked for Cen. Instead of considering the point of impact, a self-driving car could have avoided choosing between two bad outcomes by making a decision earlier on — the speaker pointed out that, when entering the alley, the car could have determined that the space was narrow and slowed to a speed that would keep everyone safe.
… . In one such project, Cen studies options for regulating social media. Her recent work provides a method for translating human-readable regulations into implementable audits.
To get a sense of what this means, suppose that regulators require that any public health content — for example, on vaccines — not be vastly different for politically left- and right-leaning users. How should auditors check that a social media platform complies with this regulation? Can a platform be made to comply with the regulation without damaging its bottom line? And how does compliance affect the actual content that users do see?
Designing an auditing procedure is difficult in large part because there are so many stakeholders when it comes to social media. Auditors have to inspect the algorithm without accessing sensitive user data. They also have to work around tricky trade secrets, which can prevent them from getting a close look at the very algorithm that they are auditing because these algorithms are legally protected. Other considerations come into play as well, such as balancing the removal of misinformation with the protection of free speech.
Would you merge your boss’s face with Gandi or Donald Trump?
https://www.makeuseof.com/tag/morphthing/
How to Morph Faces Online and Create Face Merges With MorphThing
You can have a lot of fun with face mashup tools. Here are some ways to morph two faces online and share them with friends.
Tools & Techniques. I have some spare time, perhaps I’ll write a symphony…
https://www.makeuseof.com/best-tools-write-musical-notation/
The 4 Best Online Tools to Write Musical Notation
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