Paper by Finale Doshi-Velez and Mason Kortz: “The ubiquity of systems using artificial intelligence or “AI” has brought increasing attention to how those systems should be regulated. The choice of how to regulate AI systems will require care. AI systems have the potential to synthesize large amounts of data, allowing for greater levels of personalization and precision than ever before—applications range from clinical decision support to autonomous driving and predictive policing. That said, our AIs continue to lag in common sense reasoning [McCarthy, 1960], and thus there exist legitimate concerns about the intentional and unintentional negative consequences of AI... (More >)
Victims of Sexual Harassment Have a New Resource: AI
MIT Technology Review (The Download): “If you have ever dealt with sexual harassment in the workplace, there is now a private online place for you to go for help. Botler AI, a startup based in Montreal, on Wednesday launched a system that provides free information and guidance to those who have been sexually harassed and are unsure of their legal rights. Using deep learning, the AI system was trained on more than 300,000 U.S. and Canadian criminal court documents, including over 57,000 documents and complaints related to sexual harassment. Using this information, the software predicts whether the situation explained... (More >)
Blockchain: Unpacking the disruptive potential of blockchain technology for human development.
IDRC white paper: “In the scramble to harness new technologies to propel innovation around the world, artificial intelligence, robotics, machine learning, and blockchain technologies are being explored and deployed in a wide variety of contexts globally. Although blockchain is one of the most hyped of these new technologies, it is also perhaps the least understood. Blockchain is the distributed ledger — a database that is shared across multiple sites or institutions to furnish a secure and transparent record of events occurring during the provision of a service or contract — that supports cryptocurrencies (digital assets designed to work as... (More >)
Stewardship in the “Age of Algorithms”
Clifford Lynch at First Monday: “This paper explores pragmatic approaches that might be employed to document the behavior of large, complex socio-technical systems (often today shorthanded as “algorithms”) that centrally involve some mixture of personalization, opaque rules, and machine learning components. Thinking rooted in traditional archival methodology — focusing on the preservation of physical and digital objects, and perhaps the accompanying preservation of their environments to permit subsequent interpretation or performance of the objects — has been a total failure for many reasons, and we must address this problem. The approaches presented here are clearly imperfect, unproven, labor-intensive, and... (More >)
Solving Public Problems with Data
Dinorah Cantú-Pedraza and Sam DeJohn at The GovLab: “….To serve the goal of more data-driven and evidence-based governing, The GovLab at NYU Tandon School of Engineering this week launched “Solving Public Problems with Data,” a new online course developed with support from the Laura and John Arnold Foundation. This online lecture series helps those working for the public sector, or simply in the public interest, learn to use data to improve decision-making. Through real-world examples and case studies — captured in 10 video lectures from leading experts in the field — the new course outlines the fundamental principles of... (More >)
SAM, the first A.I. politician on Messenger
Lulu Chang at Digital Trends: “It’s said that all politicians are the same, but it seems safe to assume that you’ve never seen a politician quite like this. Meet SAM, heralded as the politician of the future. Unfortunately, you can’t exactly shake this politician’s hand, or have her kiss your baby. Rather, SAM is the world’s first Virtual Politician (and a female presence at that), “driven by the desire to close the gap between what voters want and what politicians promise, and what they actually achieve.” The artificially intelligent chat bot is currently live on Facebook Messenger, though she... (More >)
Nearly All of Wikipedia Is Written By Just 1 Percent of Its Editors
Daniel Oberhaus at Motherboard: “…Sixteen years later, the free encyclopedia and fifth most popular website in the world is well on its way to this goal. Today, Wikipedia is home to 43 million articles in 285 languages and all of these articles are written and edited by an autonomous group of international volunteers. Although the non-profit Wikimedia Foundation diligently keeps track of how editors and users interact with the site, until recently it was unclear how content production on Wikipedia was distributed among editors. According to the results of a recent study that looked at the 250 million edits... (More >)
More Machine Learning About Congress’ Priorities
ProPublica: “We keep training machine learning models on Congress. Find out what this one learned about lawmakers’ top issues… Speaker of the House Paul Ryan is a tax wonk ― and most observers of Congress know that. But knowing what interests the other 434 members of Congress is harder. To make it easier to know what issues each lawmaker really focuses on, we’re launching a new feature in our Represent database called Policy Priorities. We had two goals in creating it: To help researchers and journalists understand what drives particular members of Congress and to enable regular citizens to... (More >)
Leveraging the disruptive power of artificial intelligence for fairer opportunities
Makada Henry-Nickie at Brookings: “According to President Obama’s Council of Economic Advisers (CEA), approximately 3.1 million jobs will be rendered obsolete or permanently altered as a consequence of artificial intelligence technologies. Artificial intelligence (AI) will, for the foreseeable future, have a significant disruptive impact on jobs. That said, this disruption can create new opportunities if policymakers choose to harness them—including some with the potential to help address long-standing social inequities. Investing in quality training programs that deliver premium skills, such as computational analysis and cognitive thinking, provides a real opportunity to leverage AI’s disruptive power. AI’s disruption presents a... (More >)
When Data Science Destabilizes Democracy and Facilitates Genocide
Rachel Thomas in Fast.AI on “What is the ethical responsibility of data scientists?”…What we’re talking about is a cataclysmic change… What we’re talking about is a major foreign power with sophistication and ability to involve themselves in a presidential election and sow conflict and discontent all over this country… You bear this responsibility. You’ve created these platforms. And now they are being misused, Senator Feinstein said this week in a senate hearing. Who has created a cataclysmic change? Who bears this large responsibility? She was talking to executives at tech companies and referring to the work of data scientists.... (More >)
