Saturday, December 26, 2020

A “heads up!”

https://www.pogowasright.org/canada-watch-out-gdpr-canada-proposes-strict-new-privacy-law-framework-backed-by-significant-fines/

Canada: Watch out, GDPR – Canada proposes strict new privacy law framework backed by significant fines

Arlan Gates, Theo Ling, and Karina Kudinova of Baker McKenzie write:

In November 2020, Canada introduced new federal privacy legislation that, if adopted, will create one of the strictest data protection regimes in the world, accompanied by some of the most severe financial penalties, rivalling the standards in Europe and California. Companies with a connection to Canada will need to build the new federal law, and applicable provincial laws, into their global compliance strategy.


Key Takeaways and Next Steps
The draft federal Bill C-11 provides organizations with a glimpse into what Canada’s private sector privacy laws may look like in the near future. As Canadian lawmakers consider amendments and proposals to align with global regimes such as the European General Data Protection Regulation (GDPR), businesses are likely to see new or increased consumer rights and additional obligations with respect to how personal information may be processed.

Read more on Global Compliance News.





How much paranoia is enough?

https://www.pogowasright.org/we-say-no-to-mug-shots-at-airports-and-borders/

We say “No” to mug shots at airports and borders

From the great folks at Papers, Please! (the Identity Project) on December 21:

Today the Identity Project (IDP), Restore the Fourth, Privacy Times, and the National Workrights Institute filed joint comments with U.S. Customs and Border Protection (CBP) in opposition ot the CBP proposal to require mug shots (and possibly collection of other biometrics) from all non-U.S. citizens at all border crossings and international airports and seaports

Read their analysis of CBP’s proposal on Papers, Please!





Is Facebook jumping from the frying pan into the fire?

https://www.cpomagazine.com/data-protection/as-final-stage-of-brexit-approaches-facebook-moves-uk-user-data-to-california-to-escape-eu-privacy-rules/

As Final Stage of Brexit Approaches, Facebook Moves UK User Data to California to Escape EU Privacy Rules

The United Kingdom is expected to complete its “Brexit” withdrawal from the European Union as 2021 starts. The situation may be of some benefit to Facebook, as the UK is slated to immediately adopt its own version of the General Data Protection Regulation (GDPR) in a bid to maintain “adequate” status as an EU data transfer partner. Facebook has come up with a clever workaround that takes advantage of the UK’s newly independent status; it’s simply going to move local users to California to evade EU privacy rules.





The sensors we carry with us. Could this be sensitive enough to distinguish between running over the neighbor’s bike and running over the neighbor?

https://thenextweb.com/neural/2020/12/26/how-this-startup-is-mapping-indias-potholes-using-just-your-phone/

How this startup is mapping India’s potholes using just your phone

The firm created a simple application to capture potholes using your phone’s sensors, such as gyroscope and accelerometer. Its algorithm observes changes in your vehicle’s speed and sudden dips and jumps to determine if a road has potholes in certain places.

You can install the app, and go about your business without even having to register. The company says it doesn’t need your personal data.



Friday, December 25, 2020

Not much news today. You’d think it was some kind of holiday…





A clear Security responsibility.

https://www.huntonprivacyblog.com/2020/12/24/ftc-announces-enforcement-for-inadequate-third-party-risk-management-practices-under-the-glbas-safeguards-rule/

FTC Announces Enforcement for Inadequate Third Party Risk Management Practices Under the GLBA’s Safeguards Rule

On December 15, 2020, the Federal Trade Commission announced a proposed settlement with Ascension Data & Analytics, LLC, a Texas-based mortgage industry data analytics company (“Ascension”), to resolve allegations that the company failed to ensure one of its vendors was adequately securing personal information of mortgage holders. The FTC alleged that Ascension’s vendor, OpticsML, stored documents with information, such as names, Social Security numbers and loan information, pertaining to tens of thousands of mortgage holders on a cloud-based server in plain text without any protections to block unauthorized access. The FTC further alleged that, as a result of the inadequate protections, the cloud-based server was subject to unauthorized access dozens of times.





The better the lure, the more phish you catch.

https://coppercourier.com/story/godaddy-employees-holiday-bonus-secruity-test/

GoDaddy Employees Were Told They Were Getting a Holiday Bonus. It Was Actually a Phishing Test.

“2020 has been a record year for GoDaddy, thanks to you!” the email read.

Sent by Happyholiday@Godaddy.com, tucked underneath a glittering banner of a snowflake and stamped with the words “GoDaddy Holiday Party,” the Dec. 14 email to hundreds of GoDaddy employees promised some welcome financial relief during an otherwise stressful year.

“Though we cannot celebrate together during our annual Holiday Party, we want to show our appreciation and share a $650 one-time Holiday bonus!” the email read. “To ensure that you receive your one-time bonus in time for the Holidays, please select your location and fill in the details by Friday, December 18th.”

But, two days later, the company sent another email.

“You’re getting this email because you failed our recent phishing test,” the company’s chief security officer Demetrius Comes wrote. “You will need to retake the Security Awareness Social Engineering training.”



Thursday, December 24, 2020

The first, but according to my crystal ball, not the last.

https://www.cpomagazine.com/data-protection/first-cross-border-gdpr-fine-comes-in-twitter-will-pay-e450000/

First Cross-Border GDPR Fine Comes In; Twitter Will Pay €450,000

Bringing an end to a case that was nearly two years in the making, Twitter will pay a GDPR fine of €450,000 (about $546,000) in the first cross-border enforcement action brought against a tech giant.

The fine stems from a data breach discovered back in January 2019, involving a bug that exposed certain protected tweets to the general public that was believed to have been in place since late 2014.





For the true AI geeks.

https://www.zdnet.com/article/ai-debate4-2-night-of-a-thousand-ai-scholars/

AI Debate 2: Night of a thousand AI scholars

A year ago, Gary Marcus, a frequent critic of deep learning forms of AI, and Yoshua Bengio, a leading proponent of deep learning, faced off in a two-hour debate about AI at Bengio's MILA institute headquarters in Montreal.

Wednesday evening, Marcus was back, albeit virtually, to open the second installment of what is now planned to be an annual debate on AI, under the title "AI Debate 2: Moving AI Forward." (You can follow the proceedings from 4 pm to 7 pm on Montreal.ai's Facebook page.)

Each of the sixteen speakers spoke for roughly five minutes about their focus and what they believed AI needs. Marcus compiled a nice reading packet you can check from each of the scholars as background.





Lawyers getting all techie… I suppose it’s better than us techies getting all lawyerly.

https://abovethelaw.com/2020/12/5-unforeseeable-predicable-and-surprising-legal-tech-trends-in-2020/

5 (Unforeseeable, Predicable, And Surprising) Legal Tech Trends In 2020

I have identified five trends, which I have divided into three categories: unforeseeable, continuing and surprising.

The trends I believe are worth noting — Unforeseeable: COVID-19 impacts; Predicable: state court analytics and innovative workflow tools; Surprising: legal news re-emerges as a competitive focus among major legal publishers and tech marketplaces emerge.





Perspective.

https://www.pewresearch.org/fact-tank/2020/12/11/20-striking-findings-from-2020/

20 striking findings from 2020

As 2020 draws to a close, here are 20 striking findings from Pew Research Center’s studies this year, covering the pandemic, race-related tensions, the presidential election and other notable trends that emerged during the year.





For us math geeks.

https://www.quantamagazine.org/quantas-year-in-math-and-computer-science-2020-20201223/

The Year in Math and Computer Science

Even as mathematicians and computer scientists proved big results in computational complexity, number theory and geometry, computers proved themselves increasingly indispensable in mathematics.



Wednesday, December 23, 2020

Will we understand how to control this technology by 2022?

https://www.pogowasright.org/new-york-bans-facial-recognition-in-schools-until-at-least-2022/

New York bans facial recognition in schools until at least 2022

Colin Wood reports:

New York Gov. Andrew Cuomo signed legislation on Tuesday making his state the first to ban the use of facial recognition technology and other biometric technology in both public and private K-12 schools.
The new law places a moratorium on schools purchasing or using biometric technology until at least July 1, 2022 or until a study is conducted determining acceptable use of the technology, whichever comes later.

Read more on EdScoop.





Privacy in the presence of Alexa.

https://www.schneier.com/blog/archives/2020/12/eavesdropping-on-phone-taps-from-voice-assistants.html

Eavesdropping on Phone Taps from Voice Assistants

The microphones on voice assistants are very sensitive, and can snoop on all sorts of data:

In Hey Alexa what did I just type? we show that when sitting up to half a meter away, a voice assistant can still hear the taps you make on your phone, even in presence of noise. Modern voice assistants have two to seven microphones, so they can do directional localisation, just as human ears do, but with greater sensitivity. We assess the risk and show that a lot more work is needed to understand the privacy implications of the always-on microphones that are increasingly infesting our work spaces and our homes.

From the paper:

Abstract: Voice assistants are now ubiquitous and listen in on our everyday lives. Ever since they became commercially available, privacy advocates worried that the data they collect can be abused: might private conversations be extracted by third parties? In this paper we show that privacy threats go beyond spoken conversations and include sensitive data typed on nearby smartphones. Using two different smartphones and a tablet we demonstrate that the attacker can extract PIN codes and text messages from recordings collected by a voice assistant located up to half a meter away. This shows that remote keyboard-inference attacks are not limited to physical keyboards but extend to virtual keyboards too. As our homes become full of always-on microphones, we need to work through the implications.





An extension to my Excel class? (Not in my local library, yet.)

https://bdtechtalks.com/2020/12/22/excel-data-science-machine-learning/

An introduction to data science and machine learning with Microsoft Excel

… mastering machine learning is a difficult process. You need to start with a solid knowledge of linear algebra and calculus, master a programming language such as Python, and become proficient with data science and machine learning libraries such as Numpy, Scikit-learn, TensorFlow, and PyTorch.

And if you want to create machine learning systems that integrate and scale, you’ll have to learn cloud platforms such as Amazon AWS, Microsoft Azure, and Google Cloud.

While I’ve been using Excel’s mathematical tools for years, I didn’t come to appreciate its use for learning and applying data science and machine learning until I picked up Learn Data Mining Through Excel: A Step-by-Step Approach for Understanding Machine Learning Methods by Hong Zhou.

Learn Data Mining Through Excel takes you through the basics of machine learning step by step and shows how you can implement many algorithms using basic Excel functions and a few of the application’s advanced tools.

While Excel will in no way replace Python machine learning, it is a great window to learn the basics of AI and solve many basic problems without writing a line of code.





Will others follow?

https://www.nature.com/articles/d41586-020-03611-8

Prestigious AI meeting takes steps to improve ethics of research

For the first time, the organizers of NeurIPS required speakers to consider the societal impact of their work.





For the truly bored.

https://syncedreview.com/2020/12/22/2020-in-review-10-ai-podcasts-you-need-to-know/

2020 in Review: 10 AI Podcasts You Need to Know

In a year plagued by shutdowns, “being home has actually opened up a new opportunity to discover this format.”

Synced has selected 10 AI-related podcasts for readers to check out over the holiday season.





Not sure this provides and insight to Google’s response to all the anti-trust kerfuffle, but still interesting.

https://www.ft.com/content/9debcf65-7556-4247-8abb-1d165391343f

Regulation can get it wrong’: Google’s Sundar Pichai on AI and antitrust

For Google, the Techlash arrived with a vengeance last week. After years of mounting angst about the power of Big Tech, two state-level antitrust suits against the search giant in the US landed on consecutive days, adding to a Federal case launched in October.

The European Commission, which has fought a running battle with Google over a series of competition complaints for the past decade, also upped the ante by proposing sweeping new laws aimed at curbing the power of a handful of dominant tech platforms.

For Sundar Pichai, Google’s chief executive officer since 2015, defending the company against the multiplying legal and legislative threats has become almost a full-time job.



(Related)

https://www.nytimes.com/2020/12/21/technology/google-antitrust-lawsuit.html

Google Denies Antitrust Claims in Early Response to U.S. Lawsuit

The company said people use its services because they choose to, not because they lack alternatives.

Google said on Monday that it had not used its multibillion-dollar deals with other large tech firms to protect its position as the dominant online search engine, in the company’s first formal rebuttal to the Justice Department’s accusations that those deals violated antitrust laws.

The filing, a 42-page document, is a paragraph-by-paragraph — and sometimes sentence-by-sentence — denial of the claims made by the government and a group of states that have joined its lawsuit.

… In its filing on Monday, Google did admit that some of the government’s claims held up: It is true, the company said, that some dictionaries do classify “Google" as a verb. It admitted that “it was founded in a Menlo Park garage 22 years ago and that it created an innovative way to search the internet.”

And it acknowledged that its parent company, Alphabet, has a roughly $1 trillion value — but denied that such a claim could be made about Google itself.



[Google’s reply is here: https://www.axios.com/google-denies-dojs-antitrust-claims-in-filing-bbe8d1b6-ea6d-4814-92fa-2ac2223b8e2e.html



Tuesday, December 22, 2020

and by extension, my students need to explain these to the CISO

https://www.csoonline.com/article/3601001/6-board-of-directors-security-concerns-every-ciso-should-be-prepared-to-address.html?upd=1608642841748

6 board of directors security concerns every CISO should be prepared to address

The COVID pandemic and spike in cybercriminal activity has raised interest in security among corporate boards. These are the concerns and questions CISOs say they are now hearing from them.





I think we need an “Underwriter’s Lab” for software.

https://www.bespacific.com/how-u-s-agencies-trust-in-untested-software-opened-the-door-to-hackers/

How U.S. agencies’ trust in untested software opened the door to hackers

Politico – The government doesn’t do much to verify the security of software from private contractors. And that’s how suspected Russian hackers got in: “The massive monthslong hack of agencies across the U.S. government succeeded, in part, because no one was looking in the right place. The federal government conducts only cursory security inspections of the software it buys from private companies for a wide range of activities, from managing databases to operating internal chat applications. That created the blind spot that suspected Russian hackers exploited to breach the Treasury Department, the Department of Homeland Security, the National Institutes of Health and other agencies. After embedding code in widely used network management software made by a Texas company called SolarWinds, all they had to do was wait for the agencies to download routine software updates from the trusted supplier…





Dystopian ethics.

https://dilbert.com/strip/2020-12-22





Perhaps not as ‘figured out’ as we’d like.

https://www.bbc.com/news/technology-55399509

Facebook child abuse detection hit by new EU rules

Facebook has switched off some of its child abuse detection tools in Europe in response to new rules from the EU.

The company said it has had no choice but to do so, since the new privacy directive bans automatic scanning of private messages.

The change only applies to messaging services rather than all content uploaded to Facebook.

However, there is no change in the UK, where measures are "consistent with applicable laws", Facebook said.

The problem has emerged despite warnings from child protection advocates that the new privacy rules effectively ban automated systems scanning for child sexual abuse images and other illegal content.





Papers, Citizen!

https://www.technologyreview.com/2020/12/21/1015353/covid-vaccine-passport-digital-immunity-record/

Will you have to carry a vaccine passport on your phone?

You may have heard about using “vaccine certification” or “immunity passports,” analog or digital tools to prove you’re vaccinated. Some experts champion them as a way to get back to normal life, while others warn about privacy risks and the potential for discrimination and abuse.

These debates are mostly speculative, but underlying issues of privacy, verification, and ethical use aren’t unique to the vaccine. Governments and businesses already use covid-related records every day to make decisions about who can do what. Here’s what we know.





For the implementers…

https://www.cpomagazine.com/data-protection/ccpa-vs-gdpr-spot-the-difference/

CCPA vs GDPR – Spot the Difference

For more than two years, the GDPR has been one of the most pressing pieces of data protection legislation that organisations handling data on EU residents had to get to grips with. Its strict regulations meant that companies compliant with the GDPR would also be likely to comply with the data protection standards in any territory outside of the EU as well. The status quo changed in July however, when the California Consumer Protection Act (CCPA) began to be enforced.

While there are many similarities between CCPA and the GDPR, there are some subtle yet significant differences many of those planning to do business in California need to be aware of.



(Related)

https://fpf.org/blog/a-deep-dive-into-new-zealands-new-privacy-law-extraterritorial-effect-cross-border-data-transfers-restrictions-and-new-powers-of-the-privacy-commissioner/

A DEEP DIVE INTO NEW ZEALAND’S NEW PRIVACY LAW: EXTRATERRITORIAL EFFECT, CROSS-BORDER DATA TRANSFERS RESTRICTIONS AND NEW POWERS OF THE PRIVACY COMMISSIONER

Last week, on December 1st, the newly amended Privacy Act 2020 (Act) of New Zealand came into force. The act was passed by the New Zealand Parliament on June 20, 2020 and made significant changes to the 1993 law, Privacy Act 1993. The amendments cover a broad range of topics including the extraterritorial scope of the law, new mandatory data breach notification requirements, changes to “compliance notices” as a key enforcement tool of the Office of the Privacy Commissioner, to data subject access requests, restrictions on cross-border transfers of personal information, and the enforcement regime overall.





Futile?

https://www.bespacific.com/civil-rights-groups-move-to-block-expansion-of-facial-recognition-in-airports/

Civil rights groups move to block expansion of facial recognition in airports

The Verge: “A coalition of civil rights groups led by the American Civil Liberties Union have filed an objection to the proposed expansion of Customs and Border Protections facial recognition at land and sea ports. The National Immigration Law Center, Fight for the Future, and the Electronic Frontier Foundation are also participating in the motion, alongside twelve others. Filed in November, CBP’s proposed rule would expand the biometric exit system, authorizing the collection of facial images from any non-citizen entering the country. But in a filing on Monday, the final day of the comment period, the coalition argued that those measures are too extreme.

CBP’s proposed use of face surveillance at airports, sea ports, and the land border would put the United States on an extraordinarily dangerous path toward the normalization of this surveillance,” said Ashley Gorski, senior staff attorney with the ACLU’s National Security Project, in a statement to reporters. “The deployment of this society-changing technology is unnecessary and unjustified.”…





Explaining why you need to explain Explainable AI

https://www.zdnet.com/article/explaining-explainable-ai/

Explaining explainable AI

… AI systems making inexplicable decisions are your governance, regulatory, and compliance colleagues' worst nightmare. But aside from this, there are other compelling reasons for shining a light into the inner workings of AI. For one, as more and more companies adopt AI, they find that the business stakeholders who will rely on AI for their workflows won't trust decisions if they don't have at least a general understanding of how they were made. Also, opaque AI obfuscates the "second-order insights," such as nonintuitive correlations that emerge from the inner workings of a machine-learning model.

To understand the business and technology trends critical to 2021, download Forrester's complimentary 2021 Predictions Guide here.





Perspective.

https://insidebigdata.com/2020/12/21/big-data-industry-predictions-for-2021/

Big Data Industry Predictions for 2021

2020 has been year for the ages, with so many domestic and global challenges. But the big data industry has significant inertia moving into 2021. In order to give our valued readers a pulse on important new trends leading into next year, we here at insideBIGDATA heard from all our friends across the vendor ecosystem to get their insights, reflections and predictions for what may be coming. We were very encouraged to hear such exciting perspectives. Even if only half actually come true, Big Data in the next year is destined to be quite an exciting ride.



Monday, December 21, 2020

Two years. Can you be ready in time?

https://www.csoonline.com/article/3601123/cpra-explained-new-california-privacy-law-ramps-up-restrictions-on-data-use.html#tk.rss_all

CPRA explained: New California privacy law ramps up restrictions on data use

The California Privacy Rights Act more closely aligns with the EU's General Data Protection Regulation. Mid-sized companies not yet GDPR compliant face the biggest impact.

In November, Californians approved a ballot measure, Proposition 24, a.k.a. the California Privacy Rights Act (CPRA), to create a new consumer data privacy agency. It puts California yet another step ahead of other states in terms of privacy productions for consumers—and data security requirements for enterprises.

… The law goes into effect on January 1, 2023, Lee says, and enforcement will begin six months later. "Companies essentially have two years to prepare," she says.





At last, a word of caution.

https://chiefexecutive.net/ceos-ai-is-not-a-magic-wand/

CEOs: AI Is Not A Magic Wand

Earlier this year, a joint study conducted by the Boston Consulting Group and MIT Sloan Management Review found that only 11 percent of the firms that have deployed artificial intelligence sees a “sizable” return on their investments.

What, then, is the main culprit? According to researchers, it seems to be a lack of strategic direction during the implementation process.

The people that are really getting value are stepping back and letting the machine tell them what they can do differently,” Sam Ransbotham, a professor at Boston College who co-authored the report, commented. “The gist is not blindly applying AI.”



(Related)

https://insights.dice.com/2020/12/21/managers-should-learn-a-i-and-machine-learning-skills-too/

Managers Should Learn A.I. and Machine Learning Skills, Too

Given all the focus on building A.I. and machine-learning applications, you might be forgiven for thinking that these technologies are largely the providence of software developers and engineers. But while those technologists are certainly building the next generation of “smart” apps and services, it’s important to note that A.I. and machine learning skills are going to become increasingly important to everyone—including managers.

A.I. is not going to replace managers but managers that use A.I. will replace those that do not,” Rob Thomas, senior vice president of IBM’s cloud and data platform, recently told CNBC.





Trying to understand the new anti-trust?

https://www.nytimes.com/2020/12/20/technology/antitrust-case-google-facebook.html

The Antitrust Case Against Big Tech, Shaped by Tech Industry Exiles

Three years ago, before she became an antitrust scholar whose work laid the blueprint for a new wave of monopoly lawsuits against Big Tech, Dina Srinivasan was a digital advertising executive bored with her job and worried about the bleak outlook for the industry.

It just felt like, OK, Facebook and Google were going to win and everybody else is going to lose and that’s just the way the cards were stacked,” Ms. Srinivasan said. “I don’t think this was widely understood.”

So she quit her job at a unit of WPP, the world’s largest advertising agency, and pursued something she hadn’t done since her days as a law student at Yale: writing a legal treatise.

With no background in academia but an insider’s understanding of the digital ad world and a stack of economics books, she wrote a paper with a novel theory — that Facebook harmed consumers by extracting more and more personal data for using its free services. This year, she argued in another paper that Google’s monopoly in advertising technology allowed for the type of self-dealing and insider trading that would be illegal on Wall Street.

When Letitia James, New York’s attorney general, accused Facebook of buying up rivals to illegally crush the competition as part of a multistate lawsuit against the company earlier this month, she noted that consumers paid the price with reduced privacy protections. That notion of consumer harm is the crux of Ms. Srinivasan’s thesis in her paper, “The Antitrust Case Against Facebook.”

When Texas and nine other states filed an antitrust lawsuit against Google last week, the complaint identified many of the same conflicts of interest as Ms. Srinivasan’s paper, “Why Google Dominates Advertising Markets” in the Stanford Technology Law Review. The lawsuit said Google controlled every part of the digital advertising pipeline and used it to give priority to its own services, acting as “pitcher, batter and umpire, all at the same time.”





Tools for learners…

https://www.makeuseof.com/firefox-add-ons-research-students/

17 Essential Firefox Add-Ons for Research Students

Improve your research skills with these essential Firefox add-ons for students and researchers.



Sunday, December 20, 2020

For your Security planning.

https://www.databreaches.net/maintaining-privilege-over-forensic-data-breach-reports/

Maintaining privilege over forensic data-breach reports

Steven Morphy, James Shreve, and Luke Sosnicki of Thompson Coburn LLP offer some commentary on difficulties in the current climate about claiming that forensic data-breach reports are privileged. After discussing some recent decisions, they offer some takeways to help entities. The first tip is:

At the most basic level, companies should involve outside counsel in all aspects of its breach investigation, and counsel must hire the outside consultant to investigate the breach. If possible, the company should consider retaining a different cybersecurity firm than the company previously hired to conduct any prior review of the company’s data management systems. If challenged, this could allow the company to more clearly show the retention was specific to, and in anticipation of, ensuing litigation.

Read more on JDSupra.





I wonder what they think they can decrypt…

https://www.pogowasright.org/europol-and-the-european-commission-inaugurate-new-decryption-platform-to-tackle-the-challenge-of-encrypted-material-for-law-enforcement-investigations/

Europol and the European Commission Inaugurate New Decryption Platform to Tackle the Challenge of Encrypted Material for Law Enforcement Investigations

This week Europol launched an innovative decryption platform, developed in close cooperation with the European Commission’s Joint Research Centre. It will significantly increase Europol’s capability to decrypt information lawfully obtained in criminal investigations.

The launch of the new decryption platform marks a milestone in the fight against organised crime and terrorism in Europe. In full respect of fundamental rights and without limiting or weakening encryption, this initiative will be available to national law enforcement authorities of all Member States to help keep societies and citizens safe and secure. A virtual inauguration ceremony brought together senior representatives from Europol, the European Parliament, the Council of the EU and the Commission.

Europol’s European Cybercrime Centre (EC3) will operate the platform and leverage its in-house expertise in providing the most effective support to national Member State investigations.

Source: Europol





Now here is an interesting question.

https://www.researchgate.net/profile/Clement_Arlotti/publication/347262176_Ethique_computationnelle_un_oxymore_Elements_de_mise_en_relation_de_l'intelligence_artificielle_avec_l'ethique_et_la_philosophie_du_risque/links/5fd90016a6fdccdcb8cc8704/Ethique-computationnelle-un-oxymore-Elements-de-mise-en-relation-de-lintelligence-artificielle-avec-lethique-et-la-philosophie-du-risque.pdf

Ethique computationnelle : un oxymore?

Can ethical reasoning be translated into computational form or algorithms? From Leibnitz to Bentham, this question has already been debated and nowadays, artificial intelligence proposes that the emerging field of computational ethics provides positive solutions to that problem. For this purpose, artificial autonomous agents — be they autonomous vehicles or operation research systems for medical applications— will thoroughly exploit machine-learning techniques.





Does AI constitute a jury of my peers?

http://journals.rudn.ru/law/article/view/25256

ELECTRONIC CIVIL PROCEEDINGS IN INDONESIA, THAILAND, MALAYSIA

Electronic court proceedings are now becoming a prerequisite for the effective functioning of the entire judicial system. The introduction of digital technologies in the judicial process is one of the tasks of reform, and its speed, cost-effectiveness and accessibility depend on it. The research purpose of this article is to identify common positive and negative features of the process of integrating modern technologies into civil proceedings in Indonesia, Thailand, and Malaysia. It is proved that: 1) Legal regulation of application of technical means in civil proceedings are not often in line with modern realities; 2) It is necessary to create conditions to secure judicial form of protection of rights and lawful interests by means of digital technologies; 3) The judicial form of protection of rights online is a guarantee of its implementation; 4) Implementation of procedural actions with the help of digital technical means needs simplification; 5) The general trend in reforming the civil process is wider application of artificial intelligence technologies. Comparative legal analysis of foreign legislation and literature demonstrates different levels of e-justice achievement in the countries under study, among which Malaysia is a leader in integrating modern information and telecommunications technology in civil proceedings; 6) The level of implementation of the digital agenda varies depending on the type of legal proceedings.





Sounds like they are for more AI in police work.

https://link.springer.com/chapter/10.1007/978-3-030-64849-7_1

Analysis of Factors Influencing the Adoption of Artificial Intelligence for Crime Management

Despite the benefits of Artificial Intelligence (AI) and its potential to produce deep insights and predictions, its adoption and usage are still limited in the area of crime management. Over the years, crime rates have been increasing in India, and law enforcement agencies face enormous challenges given the increasing population, urbanization, limited resources, and ineffective conventional models of reactive and investigative policing. There is an unprecedented opportunity for AI to be leveraged together with new policing models such as intelligence-led policing and predictive policing for effective crime management. In this research-in-progress paper, we offer a deeper understanding of factors significant for the adoption intention of AI for crime management in India. Further, on the practical front, the study will help law enforcement agencies to effectively leverage AI and implement innovative policing models for crime management.





I doubt it is simple.

https://www.semanticscholar.org/paper/A-Simple-Mathematical-Model-of-Politics-(I)-Huang/f1ecb814cf6c2935993d65e481178539ba212cf6

A Simple Mathematical Model of Politics

Politics is everywhere. In this paper, I propose a simple model to demonstrate political behavior in human society.





A long list, getting longer.

https://www.cnbc.com/2020/12/18/google-antitrust-cases-in-us-and-europe-overview.html

Google’s antitrust mess: Here are all the major cases it’s facing in the U.S. and Europe