Explore our articles
View All Results

Stefaan Verhulst

Mohana Ravindranath at NextGov: “Since May, the White House has been exploring the use of artificial intelligence and machine learning for the public: that is, how the federal government should be investing in the technology to improve its own operations. The technologies, often modeled after the way humans take in, store and use new information, could help researchers find patterns in genetic data or help judges decide sentences for criminals based on their likelihood to end up there again, among other applications. …

Here’s a look at how some federal groups are thinking about the technology:

  • Police data: At a recent White House workshop, Office of Science and Technology Policy Senior Adviser Lynn Overmann said artificial intelligence could help police departments comb through hundreds of thousands of hours of body-worn camera footage, potentially identifying the police officers who are good at de-escalating situations. It also could help cities determine which individuals are likely to end up in jail or prison and officials could rethink programs. For example, if there’s a large overlap between substance abuse and jail time, public health organizations might decide to focus their efforts on helping people reduce their substance abuse to keep them out of jail.
  • Explainable artificial intelligence: The Pentagon’s research and development agency is looking for technology that can explain to analysts how it makes decisions. If people can’t understand how a system works, they’re not likely to use it, according to a broad agency announcement from the Defense Advanced Research Projects Agency. Intelligence analysts who might rely on a computer for recommendations on investigative leads must “understand why the algorithm has recommended certain activity,” as do employees overseeing autonomous drone missions.
  • Weather detection: The Coast Guard recently posted its intent to sole-source a contract for technology that could autonomously gather information about traffic, crosswind, and aircraft emergencies. That technology contains built-in artificial intelligence technology so it can “provide only operational relevant information.”
  • Cybersecurity: The Air Force wants to make cyber defense operations as autonomous as possible, and is looking at artificial intelligence that could potentially identify or block attempts to compromise a system, among others.

While there are endless applications in government, computers won’t completely replace federal employees anytime soon….(More)”

How the Federal Government is thinking about Artificial Intelligence

For years, science-fiction moviemakers have been making us fear the bad things that artificially intelligent machines might do to their human creators. But for the next decade or two, our biggest concern is more likely to be that robots will take away our jobs or bump into us on the highway.

Now five of the world’s largest tech companies are trying to create a standard of ethics around the creation of artificial intelligence. While science fiction has focused on the existential threat of A.I. to humans,researchers at Google’s parent company, Alphabet, and those from Amazon,Facebook, IBM and Microsoft have been meeting to discuss more tangible issues, such as the impact of A.I. on jobs, transportation and even warfare.

Tech companies have long overpromised what artificially intelligent machines can do. In recent years, however, the A.I. field has made rapid advances in a range of areas, from self-driving cars and machines that understand speech, like Amazon’s Echo device, to a new generation of weapons systems that threaten to automate combat.

The specifics of what the industry group will do or say — even its name —have yet to be hashed out. But the basic intention is clear: to ensure thatA.I. research is focused on benefiting people, not hurting them, according to four people involved in the creation of the industry partnership who are not authorized to speak about it publicly.

The importance of the industry effort is underscored in a report issued onThursday by a Stanford University group funded by Eric Horvitz, a Microsoft researcher who is one of the executives in the industry discussions. The Stanford project, called the One Hundred Year Study onArtificial Intelligence, lays out a plan to produce a detailed report on the impact of A.I. on society every five years for the next century….The Stanford report attempts to define the issues that citizens of a typicalNorth American city will face in computers and robotic systems that mimic human capabilities. The authors explore eight aspects of modern life,including health care, education, entertainment and employment, but specifically do not look at the issue of warfare..(More)”

How Tech Giants Are Devising Real Ethics for Artificial Intelligence

Karim Tadjeddine and Martin Lundqvist of McKinsey: “Like companies in the private sector, governments from national to local can smooth the process of digital transformation—and improve services to their “customers,” the public—by adhering to certain core principles. Here’s a road map.

By virtue of their sheer size, visibility, and economic clout, national, state or provincial, and local governments are central to any societal transformation effort, in particular a digital transformation. Governments at all levels, which account for 30 to 50 percent of most countries’ GDP, exert profound influence not only by executing their own digital transformations but also by catalyzing digital transformations in other societal sectors (Exhibit 1).

The tremendous impact that digital services have had on governments and society has been the subject of extensive research that has documented the rapid, extensive adoption of public-sector digital services around the globe. We believe that the coming data revolution will be even more deeply transformational and that data enablement will produce a radical shift in the public sector’s quality of service, empowering governments to deliver better constituent service, better policy outcomes, and more-productive operations….(More)”

Policy in the data age: Data enablement for the common good

Paper by Nicolas Pflanzl , Tadeu Classe, Renata Araujo, and Gottfried Vossen: “One of the challenges envisioned for eGovernment is how to actively involve citizens in the improvement of public services, allowing governments to offer better services. However, citizen involvement in public service design through ICT is not an easy goal. Services have been deployed internally in public organizations, making it difficult to be leveraged by citizens, specifically those without an IT background. This research moves towards decreasing the gap between public services process opacity and complexity and citizens’ lack of interest or competencies to understand them. The paper discusses game design as an approach to motivate, engage and change citizens’ behavior with respect to public services improvement. The design of a sample serious game is proposed; benefits and challenges are discussed using a public service delivery scenario from Brazil….(More)”

Designing Serious Games for Citizen Engagement in Public Service Processes

Sarah O’Connor at the Financial Times: “Robots are not just taking people’s jobs away, they are beginning to hand them out, too. Go to any recruitment industry event and you will find the air is thick with terms like “machine learning”, “big data” and “predictive analytics”.

The argument for using these tools in recruitment is simple. Robo-recruiters can sift through thousands of job candidates far more efficiently than humans. They can also do it more fairly. Since they do not harbour conscious or unconscious human biases, they will recruit a more diverse and meritocratic workforce.

This is a seductive idea but it is also dangerous. Algorithms are not inherently neutral just because they see the world in zeros and ones.

For a start, any machine learning algorithm is only as good as the training data from which it learns. Take the PhD thesis of academic researcher Colin Lee, released to the press this year. He analysed data on the success or failure of 441,769 job applications and built a model that could predict with 70 to 80 per cent accuracy which candidates would be invited to interview. The press release plugged this algorithm as a potential tool to screen a large number of CVs while avoiding “human error and unconscious bias”.

But a model like this would absorb any human biases at work in the original recruitment decisions. For example, the research found that age was the biggest predictor of being invited to interview, with the youngest and the oldest applicants least likely to be successful. You might think it fair enough that inexperienced youngsters do badly, but the routine rejection of older candidates seems like something to investigate rather than codify and perpetuate. Mr Lee acknowledges these problems and suggests it would be better to strip the CVs of attributes such as gender, age and ethnicity before using them….(More)”

The risks of relying on robots for fairer staff recruitment

Book edited by Tamara WitschgeC. W. AndersonDavid Domingo, and Alfred Hermida: “The production and consumption of news in the digital era is blurring the boundaries between professionals, citizens and activists. Actors producing information are multiplying, but still media companies hold central position. Journalism research faces important challenges to capture, examine, and understand the current news environment. The SAGE Handbook of Digital Journalism starts from the pressing need for a thorough and bold debate to redefine the assumptions of research in the changing field of journalism. The 38 chapters, written by a team of global experts, are organised into four key areas:

Section A: Changing Contexts

Section B: News Practices in the Digital Era

Section C: Conceptualizations of Journalism

Section D: Research Strategies

By addressing both institutional and non-institutional news production and providing ample attention to the question ‘who is a journalist?’ and the changing practices of news audiences in the digital era, this Handbook shapes the field and defines the roadmap for the research challenges that scholars will face in the coming decades….(More)”

The SAGE Handbook of Digital Journalism

In Taiwan, for instance, tech activists have built online databases to track political contributions and create channels for public participation in parliamentary debates. In South Africa, anti-corruption organisation Corruption Watch has used online and mobile platforms to gather public votes for Public Protector candidates.

But research I recently completed with partners in Africa and Europe suggests that few of these organisations may be choosing the right technological tools to make their initiatives work.

We interviewed people in Kenya and South Africa who are responsible for choosing technologies when implementing transparency and accountability initiatives. In many cases, they’re not choosing their tech well. They often only recognised in retrospect how important their technology choices were. Most would have chosen differently if they were put in the same position again.

Our findings challenge a common mantra which holds that technological failures are usually caused by people or strategies rather than technologies. It’s certainly true that human agency matters. However powerful technologies may seem, choices are made by people – not the machines they invent. But our research supports the idea that technology isn’t neutral. It suggests that sometimes the problem really is the tech….

So what should those working in civic technology do about improving tool selection? From our research, we developed six “rules” for better tool choices. These are:

  • first work out what you don’t know;
  • think twice before building a new tool;
  • get a second opinion;
  • try it before you buy it;
  • plan for failure; and
  • share what you learn.

Possibly the most important of these recommendations is to try or “trial” technologies before making a final selection. This might seem obvious. But it was rarely done in our sample….(More)”

Technology can boost active citizenship – if it’s chosen well

(Free) book by Andrew Therriault:  “The 2016 US elections will be remembered for many things, but for those who work in politics, 2016 may be best remembered as the year that the use of data in politics reached its maturity. Through a collection of essays from leading experts in the field, this report explores how political data science helps to drive everything from overall strategy and messaging to individual voter contacts and advertising.

Curated by Andrew Therriault, former Director of Data Science for the Democratic National Committee, this illuminating report includes first-hand accounts from Democrats, Republicans, and members of the media. Tech-savvy readers will get a comprehensive account of how data analysis has prevailed over political instinct and experience and examples of the challenges these practitioners face.

Essays include:

  • The Role of Data in Campaigns—Andrew Therriault, former Director of Data Science for the Democratic National Committee
  • Essentials of Modeling and Microtargeting—Dan Castleman, cofounder and Director of Analytics at Clarity Campaign Labs, a leading modeler in Democratic politics
  • Data Management for Political Campaigns—Audra Grassia, Deputy Political Director for the Democratic Governors Association in 2014
  • How Technology Is Changing the Polling Industry—Patrick Ruffini, cofounder of Echelon Insights and Founder/Chairman of Engage, was a digital strategist for President Bush in 2004 and for the Republican National Committee in 2006
  • Data-Driven Media Optimization—Alex Lundry, cofounder and Chief Data Scientist at Deep Root Analytics, a leading expert on media and voter analytics, electoral targeting, and political data mining
  • How (and Why) to Follow the Money in Politics—Derek Willis, ProPublica’s news applications developer, formerly with The New York Times
  • Digital Advertising in the Post-Obama Era—Daniel Scarvalone, Associate Director of Research and Data at Bully Pulpit Interactive (BPI), a digital marketer for the Democratic party
  • Election Forecasting in the Media—Natalie Jackson, Senior Polling Editor atThe Huffington Post…(More)”
Data and Democracy

Paper by Cass R. Sunstein: “Why are some nudges ineffective, or at least less effective than choice architects hope and expect? Focusing primarily on default rules, this essay emphasizes two reasons. The first involves strong antecedent preferences on the part of choosers. The second involves successful “counternudges,” which persuade people to choose in a way that confounds the efforts of choice architects. Nudges might also be ineffective, and less effective than expected, for five other reasons. (1) Some nudges produce confusion on the part of the target audience. (2) Some nudges have only short-term effects. (3) Some nudges produce “reactance” (though this appears to be rare) (4) Some nudges are based on an inaccurate (though initially plausible) understanding on the part of choice architects of what kinds of choice architecture will move people in particular contexts. (5) Some nudges produce compensating behavior, resulting in no net effect. When a nudge turns out to be insufficiently effective, choice architects have three potential responses: (1) Do nothing; (2) nudge better (or different); and (3) fortify the effects of the nudge, perhaps through counter-counternudges, perhaps through incentives, mandates, or bans….(More)”.

Nudges That Fail

Samantha Ehlinger in FedScoop: “The Transportation Department is looking for public input on how to better interpret and use data on fatal crashes after 2015 data revealed a startling spike of 7.2 percent more deaths in traffic accidents that year.

Looking for new solutions that could prevent more deaths on the roads, the department released three months earlier than usual the 2015 open dataset about each fatal crash. With it, the department and the White House announced a call to action for people to use the data set as a jumping off point for a dialogue on how to prevent crashes, as well as understand what might be causing the spike.

“What we’re ultimately looking for is getting more people engaged in the data … matching this with other publicly available data, or data that the private sector might be willing to make available, to dive in and to tell these stories,” said Bryan Thomas, communications director for the National Highway Traffic Safety Administration, to FedScoop.

One striking statistic was that “pedestrian and pedalcyclist fatalities increased to a level not seen in 20 years,” according to a DOT press release. …

“We want folks to be engaged directly with our own data scientists, so we can help people through the dataset and help answer their questions as they work their way through, bounce ideas off of us, etc.,” Thomas said. “We really want to be accessible in that way.”

He added that as ideas “come to fruition,” there will be opportunities to present what people have learned.

“It’s a very, very rich data set, there’s a lot of information there,” Thomas said. “Our own ability is, frankly, limited to investigate all of the questions that you might have of it. And so we want to get the public really diving in as well.”…

Here are the questions “worth exploring,” according to the call to action:

  • How might improving economic conditions around the country change how Americans are getting around? What models can we develop to identify communities that might be at a higher risk for fatal crashes?
  • How might climate change increase the risk of fatal crashes in a community?
  • How might we use studies of attitudes toward speeding, distracted driving, and seat belt use to better target marketing and behavioral change campaigns?
  • How might we monitor public health indicators and behavior risk indicators to target communities that might have a high prevalence of behaviors linked with fatal crashes (drinking, drug use/addiction, etc.)? What countermeasures should we create to address these issues?”…(More)”
White House, Transportation Dept. want help using open data to prevent traffic crashes

Get the latest news right in you inbox

Subscribe to curated findings and actionable knowledge from The Living Library, delivered to your inbox every Friday