Tuesday, June 09, 2020


If we wanted an election system that could not be compromised we could probably do it. Each state working alone is probably not the way to go.
Study finds vulnerabilities in online voting tool used by several states




Think of this as a probable point of failure.
What Are the Requirements for CCPA Training?
At Section 1798.135(a)(3), the CCPA requires that businesses “ensure that all individuals responsible for handling consumer inquiries about the business’s privacy practices or the business’s compliance with this title are informed of all requirements in Section 1798.120 and this section and how to direct consumers to exercise their rights under those sections.”
The CCPA’s training requirements specifically mention that all employees responsible for handling consumer inquiries about privacy practices must be informed of the requirements of 1798.120 and 1798.135, which primarily focus on the sale of consumer personal information.




Wow! Why?
IBM will no longer offer, develop, or research facial recognition technology
IBM will no longer offer general purpose facial recognition or analysis software, IBM CEO Arvind Krishna said in a letter to Congress today. The company will also no longer develop or research the technology, IBM tells The Verge.
IBM firmly opposes and will not condone uses of any [facial recognition] technology, including facial recognition technology offered by other vendors, for mass surveillance, racial profiling, violations of basic human rights and freedoms, or any purpose which is not consistent with our values and Principles of Trust and Transparency,” Krishna said in the letter. “We believe now is the time to begin a national dialogue on whether and how facial recognition technology should be employed by domestic law enforcement agencies.”


(Related)
Senator wants to know if police are using Clearview to ID protesters


(Related) Podcast
How AI facial recognition works
InfoWorld senior writer Serdar Yegulalp joins Juliet to discuss the mechanics of AI facial recognition technology, how AI works to analyze your face data, why it's used by law enforcement agencies and privacy concerns.




Another strategic view of AI.
KrattAI: Estonia's National Artificial Intelligence Strategy
In 2019, the Estonian government outlined the current and future usage of Artificial Intelligence (AI) in government and private services. The main challenge was to create the legal and strategic framework for accelerating AI development and making Estonia a trailblazer in this emerging field.
The creation of Estonia's National AI Strategy resulted in a detailed strategic plan for promoting the implementation of AI solutions in both public and private sectors.
Following its successful plan, Estonia has become the world’s most digital society. Artificial Intelligence constitutes a fundamental pillar in instituting digital technologies into government and throughout the Estonian society, which Estonia refers to as e-Governance.




An unbiased look at bias?
French CNIL Publishes Paper on Algorithmic Discrimination
On June 2, 2020, the French Supervisory Authority (“CNIL”) published a paper on algorithmic discrimination prepared by the French independent administrative authority known as “Défenseur des droits”. The paper is divided into two parts: the first part discusses how algorithms can lead to discriminatory outcomes, and the second part includes recommendations on how to identify and minimize algorithmic biases. This paper follows from a 2017 paper published by the CNIL on “Ethical Issues of Algorithms and Artificial Intelligence”.
According to this new paper, each stage of the development and deployment of an algorithmic system is potentially susceptible to bias – indeed, even the maintenance of such a system can be vulnerable to this problem.




Legal and ethical?
An Ethical Framework for Artificial Intelligence
This column is the first of a two-part series on creating an ethical AI policy framework for the implementation of AI supported applications.




One of the better AI articles from Forbes.
Explainable AI Is A Game-Changer For Business Analytics
Founder and Chief Product Officer at Fiddler Labs, an Explainable AI platform that provides trust, visibility and insights into AI
Companies are generating an increasing volume of data at a CAGR of 61%. As a result, enterprises have been transitioning toward a data-driven decision model to build a competitive advantage.
The traditional BI workflow involves producing bespoke summary data views and analyses to drive decision making from vast seas of underlying data stores. These primarily manual efforts do not scale to an increasing velocity of data that needs a way to derive quick insights from large datasets. Furthermore, data approximation obscures insights, data selection adds human bias and insights are not fine-grained.
Artificial intelligence (AI), specifically machine learning (ML), can be used to automatically discover complex relationships in data and accelerate the process of generating insights. Augmented analytics is an emerging paradigm of analytics with integrated ML and AI. This enhances data selection, data analysis, insight generation and prescriptive decisions.
Let’s understand the key types of analyst requests.
1. Descriptive. Describe what happened from past data. For example, store sales dropped in Texas last month.
2. Diagnostic. Explain why it happened. For example, store sales dropped due to ineffective promotion in San Antonio.
3. Predictive. Forecast what will happen next. For example, store sales will continue to drop in Texas.
4. Prescriptive. Recommend a course of action. For example, pause or replace the promotion in San Antonio.




Perspective. (How would they know?) This virus has many variations that would be useful in a bio-weapon. Just saying...
Nearly Half of Coronavirus Spread May Be Traced to People Without Any Symptoms
TIME: “One of the more insidious features of the new coronavirus behind COVID-19 is its ability to settle into unsuspecting hosts who never show signs of being sick but are able to spread the virus to others. In a study published June 3 in the Annals of Internal Medicine, researchers at the Scripps Research Translational Institute reviewed data from 16 different groups of COVID-19 patients from around the world to get a better idea of how many cases of coronavirus can likely be traced to people who spread the virus without ever knowing they were infected. Their conclusion: at minimum, 30%, and more likely 40% to 45%.




For faculty and students.
How to get free AI training and tools
AI courses




Stuff to do in isolation.
How to explore the British Museum from home
See also Google Arts and Culture – Take a virtual gallery tour – explore the museum’s galleries from home – using Google Street View.




Anything to get rid of help my students.
5 Free Resume Apps to Maximize the Chances of Hiring Managers Reading Your CV




I want one!
Facebook’s TransCoder AI converts code from one programming language into another
Facebook’s system — TransCoder, which can translate between C++, Java, and Python — tackles the challenge with an unsupervised learning approach.
The Facebook researchers trained TransCoder on a public GitHub corpus containing over 2.8 million open source repositories, targeting translation at the function level.
Facebook isn’t the only organization developing code-generating AI systems. During Microsoft’s Build conference earlier this year, OpenAI demoed a model trained on GitHub repositories that uses English-language comments to generate entire functions. And two years ago, researchers at Rice University created a system — Bayou — that’s able to write its own software programs by associating “intents” behind publicly available code.



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