Sunday, January 24, 2021

Interesting argument. The right to be forgotten comes much later.

https://foreignpolicy.com/2021/01/20/internet-crime-scene-capitol-riot-data-information-governance/

The Internet Is a Crime Scene

How we conceptualize the role social media played in the Capitol siege will set the stage for information governance across the globe.

In the aftermath of the Capitol siege, journalists, researchers, police, and archivists are racing to gather evidence as platforms purge content and accounts in record numbers. Although the scramble is reducing the capacity of Trump supporters to stage a second attack, it is also preventing others from identifying and collecting evidence for the trials of those involved in the first one.

This moment shows the need for international data preservation laws that would require technology companies to create processes and protocols that make information accessible for journalists, civil society organizations, law enforcement, and researchers. As platform companies delete an incredible amount of content while the FBI calls on these companies to hold onto the information, it is clear that the absence of clear regulations benefits those who tried to overthrow the U.S. government, and serves authoritarians who use social media to misinform the public.





Know how to use your tools...

https://www.makeuseof.com/apple-watch-helped-police-kidnapping-victim/

Apple Watch Helped Police Find a Kidnapping Victim

According to Fox San Antonio, a woman used her Apple Watch to call for help, revealing that she had been kidnapped, and that she was in trouble. Police in Selma, Alabama, were then able to use an "emergency cellular ping" to track the victim, and discover her location in a vehicle in a parking lot.





Computer cops? Trained on existing law or potential law?

https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3766960

Computational Antitrust: An Introduction and Research Agenda

Computational antitrust is a new domain of legal informatics which seeks to develop computational methods for the automation of antitrust procedures and the improvement of antitrust analysis. The present article first introduces it, then explores how agencies, policymakers, and market participants can benefit from it. Against this background, it sets out a research agenda for the years ahead in view of providing answers to the challenges created by computational antitrust, and better understand its limits.

[From the Intro

Antitrust 1.0 appeared in 1890 with the Sherman Act and was introduced in Europe with the Treaty of Rome in 1957. It has been shaped by several schools of thought (antitrust 1.1 for the Brandeis School, antitrust 1.2 for the Roosevelt School...), but always within the framework of a textual interpretation. Antitrust 2.0 then came along with the Chicago School in the early 1960s (antitrust 2.1 being the Harvard School, antitrust 2.2 the post-Chicago School...). Antitrust law became more economical to fit with the dynamic sectors falling within its scope. The method matched the subject matter.

Antitrust 3.0 is emerging but remains incomplete.





Start worrying now and avoid the rush.

https://www.scientificamerican.com/article/premature-freakouts-about-techno-enhancement/

Premature Freakouts about Techno-Enhancement

The problem arises when pundits concerned about possible social and ethical downsides of a technology exaggerate its technical feasibility. This happens in discussions of psychopharmacology, genetic engineering, brain implants, artificial intelligence and other technologies that might, in principle (that wonderful, all-purpose fudge factor), boost our cognitive and physiological abilities. Warnings about what we should do often exaggerate what we can do.

Technology historian David Brock introduces “wishful worries,” which he defines as “problems that it would be nice to have,” in a 2019 essay for the Los Angeles Book Review. He cites these examples: “As biotechnology affords dramatically longer human lifespans, how will we fight boredom? With neurotechnology-augmentation rendering some of us essentially superheroes, what ethical dilemmas will we face? How can we protect privacy in an age of tech-enabled telepathy?”





The ideal manager?

https://dilbert.com/strip/2021-01-24



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