AI Ethics: The Future of Humanity 


Report by sparks & honey: “Through our interaction with machines, we develop emotional, human expectations of them. Alexa, for example, comes alive when we speak with it. AI is and will be a representation of its cultural context, the values and ethics we apply to one another as humans.

This machinery is eerily familiar as it mirrors us, and eventually becomes even smarter than us mere mortals. We’re programming its advantages based on how we see ourselves and the world around us, and we’re doing this at an incredible pace. This shift is pervading culture from our perceptions of beauty and aesthetics to how we interact with one another – and our AI.

Infused with technology, we’re asking: what does it mean to be human?

Our report examines:

• The evolution of our empathy from humans to animals and robots
• How we treat AI in its infancy like we do a child, allowing it space to grow
• The spectrum of our emotional comfort in a world embracing AI
• The cultural contexts fueling AI biases, such as gender stereotypes, that drive the direction of AI
• How we place an innate trust in machines, more than we do one another (Download for free)”

 

Beyond nudging: it’s time for a second generation of behaviourally-informed social policy


Katherine Curchin at LSE Blog: “…behavioural scientists are calling for a second generation of behaviourally-informed policy. In some policy areas, nudges simply aren’t enough. Behavioural research shows stronger action is required to attack the underlying cause of problems. For example, many scholars have argued that behavioural insights provide a rationale for regulation to protect consumers from manipulation by private sector companies. But what might a second generation of behaviourally-informed social policy look like?

Behavioural insights could provide a justification to change the trajectory of income support policy. Since the 1990s policy attention has focused on the moral character of benefits recipients. Inspired by Lawrence Mead’s paternalist philosophy, governments have tried to increase the resolve of the unemployed to work their way out of poverty. More and more behavioural requirements have been attached to benefits to motivate people to fulfil their obligations to society.

But behavioural research now suggests that these harsh policies are misguided. Behavioural science supports the idea that people often make poor decisions and do things which are not in their long term interests.  But the weakness of individuals’ moral constitution isn’t so much the problem as the unequal distribution of opportunities in society. There are circumstances in which humans are unlikely to flourish no matter how motivated they are.

Normal human psychological limitations – our limited cognitive capacity, limited attention and limited self-control – interact with environment to produce the behaviour that advocates of harsh welfare regimes attribute to permissive welfare. In their book Scarcity, Sendhil Mullainathan and Eldar Shafir argue that the experience of deprivation creates a mindset that makes it harder to process information, pay attention, make good decisions, plan for the future, and resist temptations.

Importantly, behavioural scientists have demonstrated that this mindset can be temporarily created in the laboratory by placing subjects in artificial situations which induce the feeling of not having enough. As a consequence, experimental subjects from middle-class backgrounds suddenly display the short-term thinking and irrational decision making often attributed to a culture of poverty.

Tying inadequate income support to a list of behavioural conditions will most punish those who are suffering most. Empirical studies of welfare conditionality have found that benefit claimants often do not comprehend the complicated rules that apply to them. Some are being punished for lack of understanding rather than deliberate non-compliance.

Behavioural insights can be used to mount a case for a more generous, less punitive approach to income support. The starting point is to acknowledge that some of Mead’s psychological assumptions have turned out to be wrong. The nature of the cognitive machinery humans share imposes limits on how self-disciplined and conscientious we can reasonably expect people living in adverse circumstances to be. We have placed too much emphasis on personal responsibility in recent decades. Why should people internalize the consequences of their behaviour when this behaviour is to a large extent the product of their environment?…(More)”

Self-organised scientific crowds to remedy research bureaucracy


 at EuroScientist: “Imagine a world without peer review committees, project proposals or activity reports. Imagine a world where research funds seamlessly flow where they are best employed, like nutrients in a food-web or materials in a river network. Many scientists would immediately signup to live in such a world.

The Netherlands is set to become the place where this academic paradise will be tested, in the next few years. In July 2016, the Dutch parliament approved a motion related to implementing alternative funding procedures to alleviate the research bureaucracy, which is increasingly burdening scientists. Here EuroScientistinvestigates whether the self-organisation power of the scientific community could help resolve one of researchers’ worse burden.

Self-organisation

The Dutch national funding agency is planning to adopt a radically new system to allocate part of its funding, promoted by ecologist Marten Sheffer, who is professor of aquatic ecology and water quality management at Wageningen University and Research Centre. Under the proposed approach, funds would intially be evenly divided among all scientists in the country. Then, they would each have to allocate half of what they have received to the person who, in their opinion, is the most deserving scientist in their network. Then, the process would be iterated.

The promoters of the system believe that the “wisdom of the crowd” of the scientific community would assigning more funds to the most deserving scientists among them; with minimal amount of paperwork. The Dutch initiative is part of a broader effort to use a scientific approach to improve science.

In other words, it is part of a trend aiming to employ scientific evidence to tweak the social mechanisms of academia. Specifically, findings from what is known as complexity research are increasingly brought forward as a way of reducing bureaucracy, removing red tape, and maximising the time scientists spend in thinking….

Abandoning the current bureaucratic, top-down system to evaluate and fund research, based on labour-intensive peer-review, may not be too much of a loss. “Peer-review is an imperfect, fragile mechanism. Our simulations show that assigning funds at random would not distort too much the results of the traditional mechanism,” says Flaminio Squazzoni, an economist at the University of Brescia, Italy, and the coordinator of the PEERE-New Frontiers of Peer Review COST action.

In reality peer-review is never quite neutral. “If scientists behave perfectly, then peer review works,” Squazzoni explains, “but if strategic motivations are taken into account, like saving time or competition, then the results are worse than random.” Squazzoni believes that automation, economic incentives, or the creation of professional reviewers may improve the situation….(More)”

Environmental Law, Big Data, and the Torrent of Singularities


Essay by William Boyd: “How will big data impact environmental law in the near future? This Essay imagines one possible future for environmental law in 2030 that focuses on the implications of big data for the protection of public health from risks associated with pollution and industrial chemicals. It assumes the perspective of an historian looking back from the end of the twenty-first century at the evolution of environmental law during the late twentieth and early twenty-first centuries.

The premise of the Essay is that big data will drive a major shift in the underlying knowledge practices of environmental law (along with other areas of law focused on health and safety). This change in the epistemic foundations of environmental law, it is argued, will in turn have important, far-reaching implications for environmental law’s normative commitments and for its ability to discharge its statutory responsibilities. In particular, by significantly enhancing the ability of environmental regulators to make harm more visible and more traceable, big data will put considerable pressure on previous understandings of acceptable risk across populations, pushing toward a more singular and more individualized understanding of harm. This will raise new and difficult questions regarding environmental law’s capacity to confront and take responsibility for the actual lives caught up in the tragic choices it is called upon to make. In imagining this near future, the Essay takes a somewhat exaggerated and, some might argue, overly pessimistic view of the implications of big data for environmental law’s efforts to protect public health. This is done not out of a conviction that such a future is likely, but rather to highlight some of the potential problems that may arise as big data becomes a more prominent part of environmental protection. In an age of data triumphalism, such a perspective, it is hoped, may provide grounds for a more critical engagement with the tools and knowledge practices that inform environmental law and the implications of those tools for environmental law’s ability to meet its obligations. Of course, there are other possible futures, and big data surely has the potential to make many positive contributions to environmental protection in the coming decades. Whether it will do so will depend in no small part on the collective choices we make to manage these new capabilities in the years ahead….(More)”

Power to the People: Addressing Big Data Challenges in Neuroscience by Creating a New Cadre of Citizen Neuroscientists


Jane Roskams and Zoran Popović in Neuron: “Global neuroscience projects are producing big data at an unprecedented rate that informatic and artificial intelligence (AI) analytics simply cannot handle. Online games, like Foldit, Eterna, and Eyewire—and now a new neuroscience game, Mozak—are fueling a people-powered research science (PPRS) revolution, creating a global community of “new experts” that over time synergize with computational efforts to accelerate scientific progress, empowering us to use our collective cerebral talents to drive our understanding of our brain….(More)”

Portugal has announced the world’s first nationwide participatory budget


Graça Fonseca at apolitical:”Portugal has announced the world’s first participatory budget on a national scale. The project will let people submit ideas for what the government should spend its money on, and then vote on which ideas are adopted.

Although participatory budgeting has become increasingly popular around the world in the past few years, it has so far been confined to cities and regions, and no country that we know of has attempted it nationwide. To reach as many people as possible, Portugal is also examining another innovation: letting people cast their votes via ATM machines.

‘It’s about quality of life, it’s about the quality of public space, it’s about the quality of life for your children, it’s about your life, OK?’ Graça Fonseca, the minister responsible, told Apolitical. ‘And you have a huge deficit of trust between people and the institutions of democracy. That’s the point we’re starting from and, if you look around, Portugal is not an exception in that among Western societies. We need to build that trust and, in my opinion, it’s urgent. If you don’t do anything, in ten, twenty years you’ll have serious problems.’

Although the official window for proposals begins in January, some have already been submitted to the project’s website. One suggests equipping kindergartens with technology to teach children about robotics. Using the open-source platform Arduino, the plan is to let children play with the tech and so foster scientific understanding from the earliest age.

Proposals can be made in the areas of science, culture, agriculture and lifelong learning, and there will be more than forty events in the new year for people to present and discuss their ideas.

The organisers hope that it will go some way to restoring closer contact between government and its citizens. Previous projects have shown that people who don’t vote in general elections often do cast their ballot on the specific proposals that participatory budgeting entails. Moreover, those who make the proposals often become passionate about them, campaigning for votes, flyering, making YouTube videos, going door-to-door and so fuelling a public discussion that involves ever more people in the process.

On the other side, it can bring public servants nearer to their fellow citizens by sharpening their understanding of what people want and what their priorities are. It can also raise the quality of public services by directing them more precisely to where they’re needed as well as by tapping the collective intelligence and imagination of thousands of participants….

Although it will not be used this year, because the project is still very much in the trial phase, the use of ATMs is potentially revolutionary. As Fonseca puts it, ‘In every remote part of the country, you might have nothing else, but you have an ATM.’ Moreover, an ATM could display proposals and allow people to vote directly, not least because it already contains a secure way of verifying their identity. At the moment, for comparison, people can vote by text or online, sending in the number from their ID card, which is checked against a database….(More)”.

Wikipedia’s not as biased as you might think


Ananya Bhattacharya in Quartz: “The internet is as open as people make it. Often, people limit their Facebook and Twitter circles to likeminded people and only follow certain subreddits, blogs, and news sites, creating an echo chamber of sorts. In a sea of biased content, Wikipedia is one of the few online outlets that strives for neutrality. After 15 years in operation, it’s starting to see results

Researchers at Harvard Business School evaluated almost 4,000 articles in Wikipedia’s online database against the same entries in Encyclopedia Brittanica to compare their biases. They focused on English-language articles about US politics, especially controversial topics, that appeared in both outlets in 2012.

“That is just not a recipe for coming to a conclusion,” Shane Greenstein, one of the study’s authors, said in an interview. “We were surprised that Wikipedia had not failed, had not fallen apart in the last several years.”

Greenstein and his co-author Feng Zhu categorized each article as “blue” or “red.” Drawing from research in political science, they identified terms that are idiosyncratic to each party. For instance, political scientists have identified that Democrats were more likely to use phrases such as “war in Iraq,” “civil rights,” and “trade deficit,” while Republicans used phrases such as “economic growth,” “illegal immigration,” and “border security.”…

“In comparison to expert-based knowledge, collective intelligence does not aggravate the bias of online content when articles are substantially revised,” the authors wrote in the paper. “This is consistent with a best-case scenario in which contributors with different ideologies appear to engage in fruitful online conversations with each other, in contrast to findings from offline settings.”

More surprisingly, the authors found that the 2.8 million registered volunteer editors who were reviewing the articles also became less biased over time. “You can ask questions like ‘do editors with red tendencies tend to go to red articles or blue articles?’” Greenstein said. “You find a prevalence of opposites attract, and that was striking.” The researchers even identified the political stance for a number of anonymous editors based on their IP locations, and the trend held steadfast….(More)”

Service Design Impact Report: Public Sector


SDN: “In our study we have identified five different areas that are relevant for service design: policy making, cultural and organizational change, training and capacity building, citizens engagement and digitization.

Service design is taking a role in “policy creation”. Not only does it bring in-depth insights in the needs and constraints of citizens that help to design policies that really work for citizens – it also enables and facilitates processes of co-creation with different stakeholders. Policies are perceived as a piece of design work that is in a constant development and they are made by people for people.

Service design is also taking a role in the process of cultural and organizational change. It collaborates with other experts in this field in order to enable change by reframing the challenges, by engaging stakeholders in development of scenarios of futures that do not yet exist and by prototyping envisioned scenarios. These processes change the role of public servants from experts to partners. It is no longer the public service that is doing something for the citizens but doing it with them.

This new way of thinking and working demands not only a change in mindset, but also in the way of doing things. Service design helps to build these new capacities. Very often it is a combination of teaching and learning by doing, in the process of capacity building small service design projects can be approached that create a sense of what service design can do and how to do it.

In this sentence service design works along with existing practices of citizens engagement and enriches them by the design approach. People are no longer victims of circumstances but creators of environments.

Very often we find that the digitalization of public services is the entrance door for designers. So enabling designers to expand their capacities and showcase how service design does not only polish the bits and bytes but really changes the way we live and work….(Full report)”

The Risk to Civil Liberties of Fighting Crime With Big Data


 in the New York Times: “…Sharing data, both among the parts of a big police department and between the police and the private sector, “is a force multiplier,” he said.

Companies working with the military and intelligence agencies have long practiced these kinds of techniques, which the companies are bringing to domestic policing, in much the way surplus military gear has beefed upAmerican SWAT teams.

Palantir first built up its business by offering products like maps of social networks of extremist bombers and terrorist money launderers, and figuring out efficient driving routes to avoid improvised explosive devices.

Palantir used similar data-sifting techniques in New Orleans to spot individuals most associated with murders. Law enforcement departments around Salt Lake City used Palantir to allow common access to 40,000 arrest photos, 520,000 case reports and information like highway and airport data — building human maps of suspected criminal networks.

People in the predictive business sometimes compare what they do to controlling the other side’s “OODA loop,” a term first developed by a fighter pilot and military strategist named John Boyd.

OODA stands for “observe, orient, decide, act” and is a means of managing information in battle.

“Whether it’s war or crime, you have to get inside the other side’s decision cycle and control their environment,” said Robert Stasio, a project manager for cyberanalysis at IBM, and a former United States government intelligence official. “Criminals can learn to anticipate what you’re going to do and shift where they’re working, employ more lookouts.”

IBM sells tools that also enable police to become less predictable, for example, by taking different routes into an area identified as a crime hotspot. It has also conducted studies that show changing tastes among online criminals — for example, a move from hacking retailers’ computers to stealing health care data, which can be used to file for federal tax refunds.

But there are worries about what military-type data analysis means for civil liberties, even among the companies that get rich on it.

“It definitely presents challenges to the less sophisticated type of criminal,but it’s creating a lot of what is called ‘Big Brother’s little helpers,’” Mr.Bowman said. For now, he added, much of the data abundance problem is that “most police aren’t very good at this.”…(More)’

Data Ethics – The New Competitive Advantage


Book by Gry Hasselbalch and Pernille Tranberg: “…describes over 50 cases of mainly private companies working with data ethics to varying degrees

Respect for privacy and the right to control one’s own data are becoming key parameters to gain a competitive edge in today’s business world. Companies, organisations and authorities which view data ethics as a social responsibility,giving it the same importance as environmental awareness and respect for human rights,are tomorrow’s winners. Digital trust is paramount to digital growth and prosperity.
This book combines broad trend analyses with case studies to examine companies which use data ethics to varying degrees. The authors make the case that citizens and consumers are no longer just concerned about a lack of control over their data, but they also have begun to act. In addition, they describe alternative business models, advances in technology and a new European data protection regulation, all of which combine to foster a growing market for data-ethical products and services….(More).