Sunday, February 09, 2020

Should they be required to show the security improvements they have already implemented? This reads like they held off doing anything until required to by the settlement.
Facebook Vows to Improve Security After Hack of 29 Million Users
Facebook Inc.pledged to improve security protocols to resolve a lawsuit blaming the company for a 2018 data breach that exposed personal data of 29 million users.
The company will check more frequently for suspicious patterns of user activity involving access tokens, the key cards that allow users to access their accounts, among other measures outlined in a proposal to settle a class-action suit filed late Friday in San Francisco federal court.
The accord requires approval from U.S. District Judge William Alsup, who previously said that “Facebook’s repetitive losses of users’ privacy supplies a long-term need for supervision.”


Interesting idea. Some interesting questions for my students.
An AI regulation strategy that could really work
… It is clear that our regulatory system needs an update. If we try to regulate 21st century technology and beyond with 20th century tools, we’ll get none of the benefits of regulation and all of the downsides.
what we can do is try to use the best traits of markets — competition, transparency, rapid iteration — to reform our regulatory system. Specifically, this means pairing strong government oversight with private sector “regulatory markets.”
We are already seeing governments essentially outsource their roles as regulators, leaving matters to self-regulation on an increasing scale. European governments, for example, after creating the right to be forgotten on search engines that pre-dated GDPR, left the task of enforcing this right to search engines themselves. The reason? Governments lacked the technological competence, resources, and political coherence to do so themselves.
A regulatory marketis a new solution to the problem of the limited capacity of traditional regulatory agencies, invented for the nation-state manufacturing age, to keep up with the global digital age.
So, instead of governments writing detailed rules, governments instead set the goals: What accident rates are acceptable in self-driving cars? What amount of leakage from a confidential data set is too much? What factors must be excluded from an algorithmic decision?

(Related)
Algorithmic Fairness, Algorithmic Discrimination
Drawing on both the computer science and legal literature on algorithmic fairness, this paper makes four major contributions to the debate: First, it provides a legal response to arguments for incorporating “fairness” in algorithmic decisionmakers by demonstrating that legal rules generally apply in the form of side constraints, not fairness functions that can be optimized. Second, by looking at the problem through the lens of discrimination law, the paper recognizes that the problems posed by computational decisionmakers closely resemble the historical, institutional discrimination that discrimination law has evolved to control, a response to the claim that this problem is truly novel because it involves computerized decisionmaking. Third, the paper responds to calls for transparency in computational decisionmaking by demonstrating how transparency is unnecessary to providing accountability and that discrimination law itself provides a model for how to deal with cases of unfair algorithmic discrimination, with or without transparency. Fourth, the paper addresses a problem that has divided the literature on the topic: how to correct for discriminatory results produced by algorithms. Rather than seeing the problem as a binary one, I offer a third way, one that disaggregates the process of correcting algorithmic decisionmakers into two separate decisions: a decision to reject an old process and a separate decision to adopt a new one. Those two decisions are subject to different legal requirements, providing added flexibility to firms and agencies seeking to avoid the worst kinds of discriminatory outcomes.


Perspective. Why I have so many students from India?
A University Built From Scratch In 5 Months Wants To Be A Global Leader
About 650 million Indians are under the age of 25. In other words, one-fifth of the world's young people live here. They want jobs, and they want an education. Enrollment in higher education here has been rising for the past decade, but in order to accommodate demand, and for the country's economy to continue to grow, the number of classroom seats has to leap forward at a dizzying rate. One author estimated in 2018 that the country needs to build at least 1,000 new universities, plus 50,000 technical colleges — in 10 years.


For my students..
Feedly now has an “AI tool” to help read and prioritize the articles in you RSS feed.


Another for my students.
The Phone Interview Cheat Sheet: Tips for Success


Add to the reference shelf.
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If you’re looking for an ebook that covers all the fundamental techniques to master Microsoft Excel, this is it.

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