Will your self-driving car pass a driving test?

https://etrr.springeropen.com/articles/10.1186/s12544-020-00438-2

Towards behaviour based testing to understand the black box of autonomous cars

Autonomous cars could make traffic safer, more convenient, efficient and sustainable. They promise the convenience of a personal taxi, without the need for a human driver. Artificial intelligence would operate the vehicle instead. Especially deep neural networks (DNNs) offer a way towards this vision due to their exceptional performance particularly in perception. DNNs excel in identifying objects in sensor data which is essential for autonomous driving. These networks build their decision logic through training instead of explicit programming. A drawback of this technology is that the source code cannot be reviewed to assess the safety of a system. This leads to a situation where currently used methods for regulatory approval do not work to validate a promising new piece of technology.

In this paper four approaches are highlighted that might help understanding black box technical systems for autonomous cars by focusing on its behaviour instead.

...but you have to know what the government is doing.

https://onlinelibrary.wiley.com/doi/abs/10.1111/1540-6253.12404

A PRAGMATIC STUDY: THE FOURTH AMENDMENT

The goal of this article is to direct a jurisprudential analysis on the practical Fourth Amendment mechanism for controlling the American government authorities’ prospective privacy invasions under artificial intelligence (AI) surveillance. With AI surveillance, the American government authorities could commit massive privacy invasions against the Fourth Amendment. The fear of destructive AI privacy invasions seems eclectic. Disregarding this fear, this article maintains that the current U.S. constitutional institutions within the scope of the Fourth Amendment can still provide a practical mechanism for controlling the governments’ AI privacy invasions. However, we can seldom find a substantial jurisprudential analysis on this issue. Under a pragmatic Fourth Amendment framework, this article fills out the void by analyzing certain prospects of this practical mechanism from a pragmatic perspective of analogical common law reasoning. Based on the analysis, legal reflects will be propounded.

A field in flux?

https://essuir.sumdu.edu.ua/handle/123456789/79093

On the issues of the artificial intelligence and intellectual property

One of the most important direction of the science development in general is an artificial intelligence. It is an experimental unit as for scholars in technology path, IT research and even for lawyers, especially who interrogates intellectual property sphere. Director General of the World Intellectual Property Organization Francis Gurry in one of his interviews noted that an artificial intelligence will influence on traditional concepts and approaches of the intellectual property. It means that in a little while an artificial intelligence will fuel commercial musical works and create inventions. As a result it will adduce such categories as "composer", "author" and "inventor" [1]. At the close of interview Director Gurry also outlined that artificial intelligence usage also will have consequences as to the legislation and policy in the intellectual property sphere, as to intellectual property system administration all over the world.

Scary, just scary.

https://arxiv.org/abs/2007.13127

What Government by Algorithm Might Look Like

Algocracy is the rule by algorithms. This paper summarises technologies useful to create algocratic social machines and presents idealistic examples of their application. In particular, it describes smart contracts and their implementations, challenges of behaviour mining and prediction, as well as game-theoretic and AI approaches to mechanism design. The presented idealistic examples of new algocratic solutions are picked from the reality of a modern state. The examples are science funding, trade by organisations, regulation of rental agreements, ranking of significance and sortition. Artificial General Intelligence is not in the scope of this feasibility study.

Because of the list…

https://www.zdnet.com/article/in-the-wake-of-overnight-digital-transformation-demand-for-technology-skills-training-surges/

In the wake of overnight digital transformation, demand for technology skills training surges

… The Bipartisan Policy Center, a research arm of the U.S. Congress, just issued a report that stresses the need for greater AI education and training so public and private-sector organizations can stay ahead in the global economy. "Closing the AI talent gap requires a targeted approach to training, recruiting, and retaining skilled workers. This AI talent should ideally have a multidisciplinary skill set that includes ethics."

… Lukas Spranger, a data scientist and software engineer, has been compiling a growing list of online courses over at the KDNuggets site. These include the following:

• Machine learning (Stanford University): Introductory course covers classic techniques.

• Introduction to Artificial Intelligence (University of California Berkeley): Covers everything pertaining to understanding AI.

• Natural Language Processing with Deep Learning (Stanford): Modern NLP techniques.

• Emerging Challenges in Deep Learning (Simons Institute): A series covering topics such as "efficient deep learning with humans in the loop," "aligning ML objectives with human values," "is deeper better when shallow is good?"

• ECE AI Seminar Series (New York University): A series covering topics such as "obstacles to progress in deep learning and AI," "The AI trinity: data + infrastructure + algorithms"

For my techies…

https://www.makeuseof.com/tag/raspberry-pi-commands-cheat-sheet/

The Ultimate Raspberry Pi Commands Cheat Sheet