I use the password “I respectfully decline.” So I can comply and refuse at the same time.

https://www.pogowasright.org/utah-high-court-rules-suspects-dont-have-to-provide-police-with-phone-passcodes/

Utah high court rules suspects don’t have to provide police with phone passcodes

Suzanne Smalley reports:

The Utah Supreme Court ruled Thursday in favor of a defendant who had argued police could not force him to provide the passcode to his phone in order to aid their prosecution.

The state’s highest court concluded that cell phone passcodes are protected under the Fifth Amendment, which gives Americans the right not to self-incriminate under oath.

The defendant, Alfonso Margo Valdez, had been accused of kidnapping, assaulting and robbing his ex-girlfriend and was initially convicted for the crime.

Subsequently an appellate court ruled that “having determined that Valdez’s refusal to provide his passcode was protected by the Fifth Amendment … the State’s commentary at trial on Valdez’s refusal was a Fifth Amendment violation,” according to a characterization from the justices.

Read more at The Record.

Would you expect all the registry lists to be identical?

https://www.pogowasright.org/texas-and-oregon-adopt-new-rules-for-data-broker-laws/

Texas and Oregon Adopt New Rules for Data Broker Laws

Kirk J. Nahra, Ali A. Jessani, and Samuel Kane of WilmerHale write:

Earlier this year, Texas and Oregon each passed a data broker registration law, joining California and Vermont to double the number of states that have enacted such legislation. Texas Governor Greg Abbott signed SB 2105 into law on June 18, 2023 and the Office of the Secretary of State adopted on December 1, 2023 a set of rules to operationalize the state’s data broker registry. Oregon Governor Tina Kotek signed HB 2052 on July 27, 2023 and the Rulemaking Advisory Committee adopted the Temporary Rules for Data Brokers Registry to be effective from December 1, 2023 through May 28, 2024.

From California’s recently enacted Delete Act, which empowers consumers with stronger data deletion rights and increases penalties for noncompliance, to the Consumer Financial Protection Bureau’s March 2023 request for information about data brokers, state and federal regulators are shining a spotlight on these actors in the data marketplace. The most common way that states are regulating data brokers is through the establishment of data broker registries, like those in Vermont, California, Texas, and Oregon. Although the registries form the driving component of these laws, the laws can also include mandates on security protocols, public disclosures, and consumer rights to delete or opt out. These laws do not include a private right of action, but the enforcing entity for each of these laws (including California’s recently formed California Privacy Protection Agency) has the authority to administer fines for noncompliance. Companies that do business in these states or have consumers living in these states should keep a close eye on how these laws define “data broker” and the types of personal data covered under these laws.

Read more at WilmerHale Privacy and Cybersecurity Law Blog.

Patents are doomed?

https://www.jdsupra.com/legalnews/the-coming-shift-from-patent-to-trade-1435661/

The Coming Shift from Patent to Trade Secret Protection for Generative AI Inventions

Generative artificial intelligence (AI) has the remarkable ability to develop novel solutions to problems, and patent law has historically protected those solutions. Under current statutes and jurisprudence, however, only humans can invent new and useful devices that receive patent protection. If it continues to be true that all generative-AI-created inventions belong to the public, then we will see a strengthening of trade secret law as the stand-in for what patent law traditionally provided to innovators. Whether innovations can remain secret from other AI independently deriving them will then depend on the power of the AI who generated the invention.

Perspective. Too much doom and gloom?

https://www.cnbc.com/2023/12/12/reich-sachs-and-mazzucato-discuss-the-winners-and-losers-of-ai.html

Who will win and lose the AI revolution?: Top economists Robert Reich, Jeffrey Sachs and Mariana Mazzucato discuss

… Watch the video above to see the full interviews.

Always educational.

https://teachprivacy.com/webinar-privacy-law-in-the-21st-century-past-present-future-blog/

Webinar – Privacy Law in the 21st Century: Past, Present, Future Blog

In case you missed my webinar on Privacy Law in the 21st Century, you can watch the replay here. I had a great discussion with Salomé Viljoen (Michigan Law), Ari Waldman (U.C. Irvine Law), and Margot Kaminski (Colorado Law) about how privacy law has been evolving.

Wow! What could possibly be wrong with this? (Imagine who else is using this technology...)

https://www.404media.co/cmg-cox-media-actually-listening-to-phones-smartspeakers-for-ads-marketing/

Marketing Company Claims That It Actually Is Listening to Your Phone and Smart Speakers to Target Ads

“What would it mean for your business if you could target potential clients who are actively discussing their need for your services in their day-to-day conversations? No, it's not a Black Mirror episode—it's Voice Data, and CMG has the capabilities to use it to your business advantage.”

A marketing team within media giant Cox Media Group (CMG) claims it has the capability to listen to ambient conversations of consumers through embedded microphones in smartphones, smart TVs, and other devices to gather data and use it to target ads, according to a review of CMG marketing materials by 404 Media and details from a pitch given to an outside marketing professional. Called “Active Listening,” CMG claims the capability can identify potential customers “based on casual conversations in real time.”

Out of the goodness of their heart?

https://www.forbes.com/sites/cyrusfarivar/2023/12/14/google-just-killed-geofence-warrants-police-location-data/?sh=3b2d2c0a2c86

Google Just Killed Warrants That Give Police Access To Location Data

On Wednesday, Google announced it would soon change the way it would store and access users’ opt-in “Location History” in Google Maps, making the data retention period shorter, and making it impossible for the company to access it. [If the data is stored, the data is accessible. Bob] That means it will no longer respond to “geofence warrants,” a controversial legal tool used by local and federal authorities to force Google to hand over information about all users within a given location during a specific timeframe.

Because geofence warrants — also known as reverse-location searches — have the potential to implicate anyone who happens to be in the vicinity of a crime, Google’s decision to end access to location data is a major win for privacy advocates and criminal defense attorneys who have long decried these warrants.

The company confirmed the impact of the change to Forbes. A current Google employee who was not authorized to speak publicly told Forbes that along with the obvious privacy benefits of encrypting location data, Google made the move to explicitly bring an end to such dragnet location searches.

Never a cold case? An LLM (or a security expert) never forgets!

https://krebsonsecurity.com/2023/12/ten-years-later-new-clues-in-the-target-breach/

Ten Years Later, New Clues in the Target Breach

Resource.

https://www.bespacific.com/free-and-liberated-ebooks-carefully-produced-for-the-true-book-lover/

Free and liberated ebooks carefully produced for the true book lover

“Standard Ebooks is a volunteer-driven project that produces new editions of public domain ebooks that are lovingly formatted, open source, free of U.S. copyright restrictions, and free of cost. Ebook projects like Project Gutenberg transcribe ebooks and make them available for the widest number of reading devices. Standard Ebooks takes ebooks from sources like Project Gutenberg, formats and typesets them using a carefully designed and professional-grade style manual, fully proofreads and corrects them, and then builds them to create a new edition that takes advantage of state-of-the-art ereader and browser technology. Standard Ebooks aren’t just a beautiful addition to your digital library—they’re a high quality standard to build your own ebooks on.”

• Browse our library

Resource

https://www.zdnet.com/article/earn-an-ai-fundamentals-credential-from-ibm-for-free/

Have 10 hours? IBM will train you in AI fundamentals - for free

… To get started, create a free account on IBM's SkillsBuild learning portal. All of the following links to IBM's free AI courses require you to have created that account and logged in before you'll be able to use them.

(Related)

https://sloanreview.mit.edu/video/a-skills-first-talent-strategy/

A Skills-First Talent Strategy

This webinar offers business leaders practical, actionable advice on placing skills at the center of their talent strategies.

Tools & Techniques. Some are free…

https://www.forbes.com/sites/technology/article/best-ai-content-detector-tools/?sh=78a7cb865d5e

10 Best AI Content Detector Tools

Welcome to the ultimate guide for selecting the best AI detector, a crucial tool in the digital age. In a world where originality and content authenticity are paramount, choosing the right AI detector is a decision that can make or break your success. This comprehensive guide will help you make an informed choice that will elevate your work to the next level. Let's delve into the details and find out which AI detector is most valuable in terms of accuracy, ease of use, pricing and overall experience.

Does no one learn? Is this case so unimportant that assigning even a paralegal to check the citations was not worth the effort?

https://www.cnn.com/2023/12/13/politics/michael-cohen-former-attorney-cases/index.html

Michael Cohen’s former attorney ordered to explain citing cases the judge believes don’t exist

A federal judge has ordered Michael Cohen’s former attorney to explain where he came up with the court cases cited in Cohen’s request for early termination of supervised release, saying as far as the judge can tell “none of these cases exist.”

Judge Jesse Furman instructed Cohen’s former attorney David Schwartz to provide by December 19 copies of the court decisions he cited and what role, if any, Cohen had in drafting or reviewing the motion before it was filed. The judge also told the attorney that if he is unable to provide the opinions that he should explain why he shouldn’t be sanctioned.

“As far as the Court can tell, none of these cases exist,” the judge wrote.

How much gooder is faster? Where does the value lie?

https://www.bespacific.com/lawyering-in-the-age-of-artificial-intelligence/

Lawyering in the Age of Artificial Intelligence

Choi, Jonathan H. and Monahan, Amy and Schwarcz, Daniel, Lawyering in the Age of Artificial Intelligence (November 7, 2023). Minnesota Legal Studies Research Paper No. 23-31, Available at SSRN: https://ssrn.com/abstract=4626276 or http://dx.doi.org/10.2139/ssrn.4626276 : “We conduct the first randomized controlled trial of AI assistance’s effect on human legal analysis. We randomly assigned sixty students at the University of Minnesota Law School each to complete four separate legal tasks (drafting a complaint, a contract, a section of an employee handbook, and a client memo), either with or without the assistance of GPT-4, after receiving training on how to use GPT-4 effectively. We then blind-graded the results and tracked how long the students took on each task. We found that access to GPT-4 slightly and inconsistently improved the quality of participants’ legal analysis but induced large and consistent increases in speed. The benefits of AI assistance were not evenly distributed: in the tasks on which AI was the most useful, it was significantly more useful to lower-skilled participants. On the other hand, AI assistance reduced the amount of time that participants took to complete the tasks roughly uniformly regardless of their baseline speed. In follow up surveys, we found that participants reported increased satisfaction from using AI to complete legal tasks and that they correctly predicted the tasks for which GPT-4 would be most helpful. These results—which will likely serve as a lower-bound estimate on AI’s capacity to improve the efficiency of legal services—have important normative implications across the future of lawyering. For law schools, they suggest the importance of deliberately and holistically assessing when and how law students are trained to use AI. For lawyers and judges, they suggest that the time to embrace AI is now, though the contours of what that will mean can and should vary significantly by practice area, task, and the stakes of the underlying matters. And for purchasers of legal services, our results suggest that it is time to reconsider what types of legal matters should be sent to outside counsel rather than handled in-house, and how matters that are handled externally are managed and billed.”

Wow? (Not enough AI lawyers?)

https://www.bespacific.com/googles-antitrust-loss-to-epic-could-preview-its-legal-fate-in-2024/

Google’s Antitrust Loss to Epic Could Preview Its Legal Fate in 2024

The New York Times: “Google’s loss was swift after a monthlong antitrust trial in a San Francisco federal court. A little more than three hours after a jury had begun deliberating on Monday, they returned with their verdict. There were 11 antitrust claims that Epic Games, the maker of the hit videogame Fortnite, had brought against Google’s Play Store for Android mobile devices, and the jury found Google to be at fault in every one of them. It was the first test of how Google might fare in the antitrust gauntlet it faces in the United States — and the company was routed. The courtroom loss could portend Google’s legal fate in two, more significant antitrust cases in the United States that could weaken the world’s most influential internet business and reshape the tech industry for years to come. Google will learn more about the direction the cases will take next year. In San Francisco, Judge James Donato of the United States District Court for the Northern District of California will decide early in the year how Google should be punished for what the jury found to be anticompetitive conduct with its app store. Google and the Justice Department are expected to make closing arguments in May in a separate antitrust trial in Washington D.C., that focused on Google’s overwhelmingly popular search engine. And the company still faces another antitrust trial, regarding its online ad business, in a federal court in Virginia.”

(Related)

https://www.cnbc.com/2023/12/12/tim-sweeney-why-epic-did-better-against-google-than-apple-in-court.html

Epic Games CEO Tim Sweeney on why the company did better against Google than Apple in court

… Sweeney attributed the win to revelations during the trial that Google had allegedly deleted or failed to keep records such as chats about its secretive deals with app makers. He also noted that it had been a jury trial, while the Apple case was decided by a judge.

“The brazenness of Google executives violating the law, and then deleting all of the records of violating the law,” Sweeney said in an interview with CNBC. “That was really astonishing. This is very much not a normal court case, you don’t expect a trillion-dollar corporation to operate the way Google operated.”

Are you paying attention IRS?

https://therecord.media/ukraine-intelligence-claims-attack-on-russia-tax-service

Ukraine’s intelligence claims cyberattack on Russia’s state tax service

Ukraine's defense intelligence directorate (GUR) said it infected thousands of servers belonging to Russia's state tax service with malware, and destroyed databases and backups.

During the operation, Ukraine's military spies said they managed to break into one of the "key well-protected central servers" of Russia's federal tax service (FNS) as well as more than 2,300 regional servers throughout Russia and occupied Crimea. The attack also affected a Russian tech company that operates FNS’s database.

According to GUR’s statement published Tuesday, the attack led to the “complete destruction” of the agency’s infrastructure. GUR claimed they destroyed configuration files "which for years ensured the functioning of Russia's tax system."

(Related) In war, attacks go both ways...

https://therecord.media/kyivstar-cyberattack-telecom-shutdown-ukraine

Ukraine's largest telecom operator shut down after cyberattack

Ukraine’s largest telecom operator, Kyivstar, got hit by a major cyberattack on Tuesday, leaving millions of people without cell service and internet.

Kyivstar customers began complaining about network and internet outages in the early morning. The company later reported via Facebook that it got hit by a "powerful" cyberattack that led to a "large-scale technical failure." Customers' data hasn't been compromised, the statement said.

Kyivstar's services in Ukraine were still down as of Tuesday afternoon. The company’s CEO, Oleksandr Komarov, said in a video statement that “it is still not completely clear” when the company will restore normal operations.

Does YouTube contain fewer falsehoods or less bias than the Internet as a whole?

https://www.pcworld.com/article/2166765/googles-bard-has-one-enormous-advantage-over-other-ai-chatbots.html

Google Bard has one enormous advantage over other AI chatbots

There's a lot of knowledge on YouTube. Bard is learning what it is.

… On November 21, Google took “the first steps in Bard’s ability to understand YouTube videos,” according to the list of Bard updates that Google publishes. Coming as it did the week of Thanksgiving and Black Friday, the improvement didn’t generate much notice. But after playing around with it, I have to say that there’s an enormous amount of hidden potential.

Perspective.

https://www.bespacific.com/how-twitter-broke-the-news/

How Twitter Broke the News

The Verge: “

Here

is a very dumb truth: for a decade, the default answer to nearly every problem in mass media communication involved Twitter. Breaking news? Twitter. Live sports commentary? Twitter. Politics? Twitter. A celebrity has behaved badly? Twitter. A celebrity has issued a Notes app apology for bad behavior? Twitter. For a good while, the most reliable way to find out what a loud noise in New York City was involved asking Twitter. Was there an earthquake in San Francisco? Twitter. Is some website down? Twitter. The sense that Twitter was a real-time news feed worked in both directions: people went on Twitter to find out what was going on, and reporters, seeing a real-time audience of people paying attention to news, started talking directly to those people. Twitter knew this and played right into it. In 2009, co-founder Biz Stone wrote that the platform had become a “new kind of information network” and that the prompt in the tweet box would now be, “What’s happening?” “Twitter helps you share and discover what’s happening now among all the things, people, and events you care about,” he wrote. In short, Twitter was for the news…

reporters around the world provided Twitter with real-time news and commentary for free, increasingly learning to shape stories for the algorithm instead of their actual readers. Meanwhile, the media companies they worked for faced an exodus of their biggest advertising clients to social platforms with better, more integrated ad products, a direct connection to audiences, and no pesky editorial ethics policies. The news became ever smaller, even as the stories got bigger — there are would-be reporters in every part of the country and world posting for free, even as the local news business itself dries up. Twitter was founded in 2006. Since that year, newspaper employment has fallen 70 percent, and people in more than half of the counties in America have little to no local news at all …”

Perhaps what we need is a really good bad example. (Perhaps something that exposes the personal data of members of Congress?)

https://fpf.org/blog/five-big-questions-and-zero-predictions-for-the-u-s-state-privacy-landscape-in-2024/

FIVE BIG QUESTIONS (AND ZERO PREDICTIONS) FOR THE U.S. STATE PRIVACY LANDSCAPE IN 2024

Entering 2024, the United States now stands alone as the sole G20 nation without a comprehensive, national framework governing the collection and use of personal data. With bipartisan efforts to enact federal privacy legislation once again languishing in Congress, state-level activity on privacy dramatically accelerated in 2023. As the dust from this year settles, we find that the number of states with ‘comprehensive’ commercial privacy laws swelled from five to twelve (or, arguably, thirteen ), a new family of health-specific privacy laws emerged in Democratic-led states while Republican-led states increasingly adopted controversial age verification and parental consent laws, and state lawmakers took the first steps towards comprehensively regulating the development and use of Artificial Intelligence technologies.

While stakeholders are eager to know whether and how these 2023 trends will carry over into next year’s state legislative cycle, it is too early to make predictions with any confidence. So instead, this post explores five big questions about the state privacy landscape that will shape how 2024 legislative developments will impact the protection of personal information in the United States.

This used to be a “simple” way to take a Ferris Bueller day off.

https://www.databreaches.net/multiple-ohio-schools-receive-threats-believed-to-be-russian-hackers-saying-bombs-are-in-schools/

Multiple Ohio schools receive threats, believed to be Russian hackers, saying bombs are in schools

John Lynch reports:

Schools in Ohio have received threats of multiple explosives inside American schools.

7News received emails from parents that said area schools received threats that there were explosives inside the school.

In Ohio, the Ohio School Safety Center, the Department of Education and Workforce and the FBI have been notified.

The threats are similar to those that occurred in Texas school districts last week, which were investigated and found to not be credible.

A release from the FBI stated the following, “While we have no information to indicate a specific and credible threat, we will continue to work with our local, state, and federal law enforcement partners to gather, share, and act upon threat information as it comes to our attention. We urge the public to remain vigilant, and report any and all suspicious activity and/or individuals to law enforcement immediately.”

Read more at WTRF

So what’s the purpose of these threats? Is it to distract attention to physical security while something is going on in the network? DataBreaches will continue to monitor these types of reports.

Coming soon to a court near you?

https://cointelegraph.com/news/ai-guidance-judges-in-england-wales-warns-risks

AI guidance for judges in England and Wales warns against risks

A group of four senior judges in the United Kingdom have issued judicial guidance for artificial intelligence (AI), which deals with the “responsible use” of AI in courts and tribunals.

The guidance, published on Dec. 12, is directed toward magistrates, tribunal panel members and judges in England and Wales, and it is intended to inform and warn court officials.

On the right track?

https://www.nist.gov/news-events/news/2023/12/nist-offers-draft-guidance-evaluating-privacy-protection-technique-ai-era

NIST Offers Draft Guidance on Evaluating a Privacy Protection Technique for the AI Era

… While NIST’s new guidance, formally titled Draft NIST Special Publication (SP) 800-226, Guidelines for Evaluating Differential Privacy Guarantees, is designed primarily for other federal agencies, it can be used by anyone. It aims to help everyone from software developers to business owners to policy makers understand and think more consistently about claims made about differential privacy.

“You can use differential privacy to publish analyses of data and trends without being able to identify any individuals within the dataset,” said Naomi Lefkovitz, manager of NIST’s Privacy Engineering Program and one of the publication’s editors. “But differential privacy technology is still maturing, and there are risks you should be aware of. We want this publication to help organizations evaluate differential privacy products and get a better sense of whether their creators’ claims are accurate.”

(Related)

https://www.artificialintelligence-news.com/2023/12/11/mit-publishes-white-papers-guide-ai-governance/

MIT publishes white papers to guide AI governance

A committee of MIT leaders and scholars has published a series of white papers aiming to shape the future of AI governance in the US. The comprehensive framework outlined in these papers seeks to extend existing regulatory and liability approaches to effectively oversee AI while fostering its benefits and mitigating potential harm.

Titled “A Framework for U.S. AI Governance: Creating a Safe and Thriving AI Sector,” the main policy paper proposes leveraging current US government entities to regulate AI tools within their respective domains.

Perspective.

https://www.pewresearch.org/internet/2023/12/11/teens-social-media-and-technology-2023/

Teens, Social Media and Technology 2023

YouTube, TikTok, Snapchat and Instagram remain the most widely used online platforms among U.S. teens

Despite negative headlines and growing concerns about social media’s impact on youth, teens continue to use these platforms at high rates – with some describing their social media use as “almost constant,” according to a new Pew Research Center survey of U.S. teens.

Tools & Techniques.

https://fortune.com/2023/12/11/khan-academy-ai-bots-coach-cheating-guardrails-essays-brainstorm-ai/

Khan Academy’s founder says AI ‘coaches’ will soon submit essays to teachers instead of students

… “That first weekend we had access, we were like ‘This could be used to cheat’,” Khan said Monday in an onstage interview at Fortune’s Brainstorm AI conference in San Francisco. By the time Khan Academy released its GPT-powered tutor Khanmigo, in March 2023, Khan had installed multiple safeguards to prevent students from using it as a cheat tool.

“There’s a lot of guardrails there,” Khan said, describing features for teachers to control what information students can ask the bot, as well as automated monitoring features to flag inappropriate uses of the tool.

… The student essay, for example, is likely to change significantly as a result of AI, with bots serving as a writing “coach” for students and teachers. “Khanmigo will then tell the students, ‘Hey, let’s work on this paper together. I’m not going to do it for you, but I’m gonna be your coach. I’m going to give you feedback.'”

Instead of a student simply submitting an essay, Khan said that an AI bot could deliver the essay to the teacher, along with information about the process the student and the bot went through to craft a thesis statement, how long it took, and even how many other students in the class struggled with similar parts of the writing process.

Perspective.

https://theconversation.com/technologies-like-artificial-intelligence-are-changing-our-understanding-of-war-217342

Technologies like artificial intelligence are changing our understanding of war

Artificial intelligence (AI) is widely regarded as a disruptive technology because it has the potential to fundamentally alter social relationships. AI has affected how people understand the world, the jobs available in the workforce and judgments of who merits employment or threatens society.

Nowhere is this more apparent than in warfare, which is defined by social and technological processes. Technologies such as autonomous weapon systems (AWS) and cyberweapons have the potential to change conflicts and combat forever.

Justifying warfare

Acts of violence committed in war are often framed in virtuous terms, with justice and other morality motivations used to legitimate armed conflict.

Yet “just wars” require both clear definitions of who is a combatant and clear distinctions between war and peace. When such distinctions are eroded, this leads to total wars — all against all. Boundaries between civilians and soldiers and military and domestic infrastructure are blurred, making everyone and everything a legitimate target. We might believe that total wars are a thing of the past, involving Mongolian hordes or trench warfare, but recent discussions of technology’s impact on warfare have breathed new life into the concept.

As I have mentioned more than once…

https://researcharchive.lincoln.ac.nz/items/b2e4080f-1047-428b-879f-7d825952d9ac

15 ways LLMs could ruin scholarly communication - and what we can do about it

Despite the dreams of science-fiction fans worldwide, the thing being marketed as "artificial intelligence" is no more than high-powered predictive text. What it gets right is thanks to its input data created by billions of humans, and to an invisible and underpaid workforce of content moderators. What it gets wrong threatens privacy, exacerbates sexism, racism and other inequities, and may even be environmentally damaging. There are situations that are well enough defined that machine models can be useful, but scholarly communication by its nature is full of new and unique information, relying on precisely reported data, that algorithms based on probabilities can't deal with. So as a community we need to come with ways to prevent machine-generated fake papers from poisoning the well of science - and we need to be healthily sceptical of vendors selling us machine-based solutions to problems that can still only be addressed by human intelligence.

As much as we trust the law?

https://onlinelibrary.wiley.com/doi/full/10.1111/rego.12568

Regulating for trust: Can law establish trust in artificial intelligence?

The current political and regulatory discourse frequently references the term “trustworthy artificial intelligence (AI).” In Europe, the attempts to ensure trustworthy AI started already with the High-Level Expert Group Ethics Guidelines for Trustworthy AI and have now merged into the regulatory discourse on the EU AI Act. Around the globe, policymakers are actively pursuing initiatives—as the US Executive Order on Safe, Secure, and Trustworthy AI, or the Bletchley Declaration on AI showcase—based on the premise that the right regulatory strategy can shape trust in AI. To analyze the validity of this premise, we propose to consider the broader literature on trust in automation. On this basis, we constructed a framework to analyze 16 factors that impact trust in AI and automation more broadly. We analyze the interplay between these factors and disentangle them to determine the impact regulation can have on each. The article thus provides policymakers and legal scholars with a foundation to gauge different regulatory strategies, notably by differentiating between those strategies where regulation is more likely to also influence trust on AI (e.g., regulating the types of tasks that AI may fulfill) and those where its influence on trust is more limited (e.g., measures that increase awareness of complacency and automation biases). Our analysis underscores the critical role of nuanced regulation in shaping the human-automation relationship and offers a targeted approach to policymakers to debate how to streamline regulatory efforts for future AI governance.

My field. Looks like we have made a start...

https://repository.tudelft.nl/islandora/object/uuid:5a54364d-6642-46f0-929f-0d3ba72c23f5

Auditing Artificial Intelligence

Recent technological advancements have enabled the development of increasingly impactful and complex Artificial Intelligence (AI) systems. This complexity is paired with a trade-off in terms of system opacity. The resulting lack of understanding combined with reported algorithm scandals have decreased public trust in AI systems. Meanwhile, the AI risk mitigation field is maturing. One of the proposed mechanisms to incentivize the verifiable development of trustworthy AI systems is the AI audit: the external assessment of AI systems.

The AI audit is an emerging subdomain of the Information Technology (IT) audit, a standardized practice carried out by accountants. Contrary to the IT audit, there are currently no AI-specific defined rules and regulations to adhere to. At the same time, some organizations are already seeking external assurance from accountancy firms on their AI systems. AI auditors have indicated that this has lead to challenges in their current audit approach, mainly due to a lack of structure. Therefore, this thesis proposes an AI audit workflow comprised of a general AI auditing framework combined with a structured scoping approach.

Interviews with AI auditors at one accountancy firm in the Netherlands revealed that the demand for AI audits is increasing and expected to keep growing. Clients mainly seek assurance for management of stakeholders and reputation. Furthermore, the challenges the auditors currently experience stem from having to aggregate auditing questions from a range of auditing frameworks, causing issues in their recombination and in determining question relevancy. Subsequently, design criteria for a general auditing framework as well as feedback on a proposed scoping approach were obtained.

Fourteen AI auditing frameworks were identified through a literature search. Following their typology, these could be subdivided into three source categories: academic, industry, and auditing/regulatory. Academic frameworks typically focused on specific aspects of trustworthy AI, while industry frameworks emphasized the need for public trust to drive AI progress. Frameworks developed by auditing and regulatory organizations tended to be most extensive.

A new metric to laugh about?

https://www.fastcompany.com/90994526/pdoom-explained-how-to-calculate-your-score-on-ai-apocalypse-metric

P(doom) is AI’s latest apocalypse metric. Here’s how to calculate your score

… P(doom) officially stands for “probability of doom,” and as its name suggests, it refers to the odds that artificial intelligence will cause a doomsday scenario.

… The scale runs from zero to 100, and the higher you score yourself, the more you’re convinced that AI is not only willing to eliminate humankind, if necessary, but in fact, is going to succeed at carrying out that task.