Paper by Niels van Berkel et al: “The obesity epidemic is one of the greatest threats to health and wellbeing throughout much of the world. Despite information on healthy lifestyles and eating habits being more accessible than ever before, the situation seems to be growing worse And for a person who wants to lose weight there are practically unlimited options and temptations to choose from. Food, or dieting, is a booming business, and thousands of companies and vendors want their cut by pitching their solutions, particularly online (Google) where people first turn to find weight loss information. In our work, we have set to harness the wisdom of crowds in making sense of available diets, and to offer a direct way for users to increase their food literacy during diet selection. The Diet Explorer is a crowd-powered online knowledge base that contains an arbitrary number of weight loss diets that are all assessed in terms of an arbitrary set of criteria…(More)”.
Journalism and artificial intelligence
Notes by Charlie Beckett (at LSE’s Media Policy Project Blog) : “…AI and machine learning is a big deal for journalism and news information. Possibly as important as the other developments we have seen in the last 20 years such as online platforms, digital tools and social media. My 2008 book on how journalism was being revolutionised by technology was called SuperMedia because these technologies offered extraordinary opportunities to make journalism much more efficient and effective – but also to transform what we mean by news and how we relate to it as individuals and communities. Of course, that can be super good or super bad.
Artificial intelligence and machine learning can help the news media with its three core problems:
- The overabundance of information and sources that leave the public confused
- The credibility of journalism in a world of disinformation and falling trust and literacy
- The Business model crisis – how can journalism become more efficient – avoiding duplication; be more engaged, add value and be relevant to the individual’s and communities’ need for quality, accurate information and informed, useful debate.
But like any technology they can also be used by bad people or for bad purposes: in journalism that can mean clickbait, misinformation, propaganda, and trolling.
Some caveats about using AI in journalism:
- Narratives are difficult to program. Trusted journalists are needed to understand and write meaningful stories.
- Artificial Intelligence needs human inputs. Skilled journalists are required to double check results and interpret them.
- Artificial Intelligence increases quantity, not quality. It’s still up to the editorial team and developers to decide what kind of journalism the AI will help create….(More)”.
Citicafe: conversation-based intelligent platform for citizen engagement
Paper by Amol Dumrewal et al in the Proceedings of the ACM India Joint International Conference on Data Science and Management of Data: “Community civic engagement is a new and emerging trend in urban cities driven by the mission of developing responsible citizenship. The recognition of civic potential in every citizen goes a long way in creating sustainable societies. Technology is playing a vital role in helping this mission and over the last couple of years, there have been a plethora of social media avenues to report civic issues. Sites like Twitter, Facebook, and other online portals help citizens to report issues and register complaints. These complaints are analyzed by the public services to help understand and in-turn address these issues. However, once the complaint is registered, often no formal or informal feedback is given back from these sites to the citizens. This de-motivates citizens and may deter them from registering further complaints. In addition, these sites offer no holistic information about a neighborhood to the citizens. It is useful for people to know whether there are similar complaints posted by other people in the same area, the profile of all complaints and a know-how of how and when these complaints will be addressed.
In this paper, we create a conversation-based platform CitiCafe for enhancing citizen engagement front-ended by a virtual agent with a Twitter interface. This platform back-end stores and processes information pertaining to civic complaints in a city. A Twitter based conversation service allows citizens to have a direct correspondence with CitiCafe via “tweets” and direct messages. The platform also helps citizens to (a) report problems and (b) gather information related to civic issues in different neighborhoods. This can also help, in the long run, to develop civic conversations among citizens and also between citizens and public services….(More)”.
Digitalization, Collective Intelligence, and Entrepreneurship in the Care Sector
Chapter by Erik Lakomaa in Managing Digital Transformation edited by Per Andersson, Staffan Movin, Magnus Mähring, Robin Teigland, and Karl Wennberg: “Parallel to the formal private or public (health) care organisations in Europe, a number of community-driven care projects have emerged. They may supplement the formal organisations by reducing costs or provide care to groups that, for some reason, do not have access to the formal sector. Drawing upon the Ostromian theory of commons and on previous theory and research on open software development (which share some of the characteristics of “open care”), I use historical cases of community-driven care to examine the prospects for such projects to help remedy the cost crisis in the care sector. I explore under which institutional settings “open care” is likely to emerge and when open care projects have potential to scale. It is found that open care is more likely to emerge and prosper when it builds upon existing organisational structures: where the participants do not need to create new hierarchies or governance structures, and where they share common values…(More)”.
Public Scrutiny of Automated Decisions: Early Lessons and Emerging Methods
Research Report by Omidyar Network: “Automated decisions are increasingly part of everyday life, but how can the public scrutinize, understand, and govern them? To begin to explore this, Omidyar Network has, in partnership with Upturn, published Public Scrutiny of Automated Decisions: Early Lessons and Emerging Methods.
The report is based on an extensive review of computer and social science literature, a broad array of real-world attempts to study automated systems, and dozens of conversations with global digital rights advocates, regulators, technologists, and industry representatives. It maps out the landscape of public scrutiny of automated decision-making, both in terms of what civil society was or was not doing in this nascent sector and what laws and regulations were or were not in place to help regulate it.
Our aim in exploring this is three-fold:
1) We hope it will help civil society actors consider how much they have to gain in empowering the public to effectively scrutinize, understand, and help govern automated decisions;
2) We think it can start laying a policy framework for this governance, adding to the growing literature on the social and economic impact of such decisions; and
3) We’re optimistic that the report’s findings and analysis will inform other funders’ decisions in this important and growing field. (Read the full report here.)”
Global Fishing Watch And The Power Of Data To Understand Our Natural World
A year and a half ago I wrote about the public debut of the Global Fishing Watch project as a showcase of what becomes possible when massive datasets are made accessible to the general public through easy-to-use interfaces that allow them to explore the planet they inhabit. At the time I noted how the project drove home the divide between the “glittering technological innovation of Silicon Valley and the technological dark ages of the development community” and what becomes possible when technologists and development organizations come together to apply incredible technology not for commercial gain, but rather to save the world itself. Continuing those efforts, last week Global Fishing Watch launched what it describes as the “the first ever dataset of global industrial fishing activities (all countries, all gears),” making the entire dataset freely accessible to seed new scientific, activist, governmental, journalistic and citizen understanding of the state of global fishing.
The Global Fishing Watch project stands as a powerful model for data-driven development work done right and hopefully, the rise of notable efforts like it will eventually catalyze the broader development community to emerge from the stone age of technology and more openly embrace the technological revolution. While it has a very long way to go, there are signs of hope for the development community as pockets of innovation begin to infuse the power of data-driven decision making and situational awareness into everything from disaster response to proactive planning to shaping legislative action.
Bringing technologists and development organizations together is not always that easy and the most creative solutions aren’t always to be found among the “usual suspects.” Open data and open challenges built upon them offer the potential for organizations to reach beyond the usual communities they interact with and identify innovative new approaches to the grand challenges of their fields. Just last month a collaboration of the World Bank, WeRobotics and OpenAerialMap launched a data challenge to apply deep learning to assess aerial imagery in the immediate aftermath of disasters to determine the impact to food producing trees and to road networks. By launching the effort as an open AI challenge, the goal is to reach the broader AI and open development communities at the forefront of creative and novel algorithmic approaches….(More)”.
The Malicious Use of Artificial Intelligence: Forecasting, Prevention, and Mitigation
Report by Miles Brundage et al: “Artificial intelligence and machine learning capabilities are growing at an unprecedented rate. These technologies have many widely beneficial applications, ranging from machine translation to medical image analysis. Countless more such applications are being developed and can be expected over the long term. Less attention has historically been paid to the ways in which artificial intelligence can be used maliciously. This report surveys the landscape of potential security threats from malicious uses of artificial intelligence technologies, and proposes ways to better forecast, prevent, and mitigate these threats. We analyze, but do not conclusively resolve, the question of what the long-term equilibrium between attackers and defenders will be. We focus instead on what sorts of attacks we are likely to see soon if adequate defenses are not developed.
In response to the changing threat landscape we make four high-level recommendations:
1. Policymakers should collaborate closely with technical researchers to investigate, prevent, and mitigate potential malicious uses of AI.
2. Researchers and engineers in artificial intelligence should take the dual-use nature of their work seriously, allowing misuserelated considerations to influence research priorities and norms, and proactively reaching out to relevant actors when harmful applications are foreseeable.
3. Best practices should be identified in research areas with more mature methods for addressing dual-use concerns, such as computer security, and imported where applicable to the case of AI.
4. Actively seek to expand the range of stakeholders and domain experts involved in discussions of these challenges….(More)”.
Six creative ways to engage the public in innovation policy
Tom Saunders at Nesta: “When someone decides to engage the public in a discussion about science or innovation, it usually involves booking a room, bringing a group of people together and giving them some information about a topical issue then listening to their thoughts about it. After this, the organisers ususally produce a report which they email to everyone they want to influence, or if it was commissioned directly by a research funder or a public body, there is usually a response detailing how they are going to act on the views of the public.
What’s wrong with this standard format of public dialogue? Through our research into public engagement in innovation policy, we noticed a number of issues:
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Almost all public engagement work is offline, with very little money spent on digital methods
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Most dialogues are top down, e.g a research council decides that they need to engage the public on a particular issue. They rarely come from citizens themselves
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Most public dialogues are only open to a small number of hand-picked participants. No one else can take part, even if they want to
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Few public engagement activities focus specifically on engaging with underrepresented groups…(More)”.
Predictive text app helps reverse gendered language
Springwise: “Research has shown that people talk differently to children depending on their gender. Without even realising it, adults tend to talk to boys in terms of their abilities, but to girls in terms of their looks. Over time, this difference can affect how children, and in particular girls, see themselves, and can affect their self-confidence. Finnish child rights organisation Plan International, in conjunction with Samsung Electronics Nordic, decided to try and change this unconscious behaviour with a predictive text app. Sheboard seeks to empower girls by raising awareness of the impacts of gendered speech.
As users are typing, Sheboard will suggest gender neutral words as well as words that are designed to empower girls, such as “I’m capable” and “I deserve”. The app also swaps stereotypical expressions with those that are more positive. The goal is to remind girls about the qualities and abilities they have. In the words of Nora Lindström, Plan’s Global Coordinator for Digital Development, “We want to help people see the impact that words have, and make them consider ways in which they can change how they talk in order to empower girls.”
In developing the app, Plan had girls and women of different ages contribute their personal empowerment phrases. Plan acknowledges that technological innovations in and of themselves won’t change gender-stereotypical behaviour. However, the hope is that the app will lead to a greater awareness and understanding of these issues and in Finland and elsewhere. The app is currently available on Google Play. Sheboard joins other girls-power products such as an app that adds augmented reality statues of remarkable women to public places and toys designed to encourage girls to enter STEM fields….(More)”.
Liquid democracy uses blockchain to fix politics, and now you can vote for it
Danny Crichton at TechCrunch: “…Confidence in Congress remains pitifully low, driven by perceived low ethical standards and an increasing awareness that politics is bought by the highest bidder.
Now, a group of technologists and blockchain enthusiasts are asking whether a new approach could reform the system, bringing citizens closer to their representatives and holding congressmen accountable to their voters in a public, verifiable way. And if you live in western San Francisco, you can actually vote to put this system into office.
The concept is known as liquid democracy, and it’s a solid choice for fixing a broken system. The idea is that every person should have the right to give feedback on a policy issue or a piece of new legislation, but often people don’t have the time to do so. Using a liquid democracy platform, however, that voter can select a personal representative who has the authority to be a proxy for their vote. That proxy can be changed at will as a voter’s interests change.
Here is where the magic happens. Those proxies can themselves proxy their votes to other people, creating a directed network graph, ideally connecting every voter to politicians and all publicly verified on a blockchain. While there may be 700,000 people in a congressional district, potentially only a few hundred of a few thousand “super proxies” would need to be deeply engaged in the system for better representation to take place.
David Ernst is a leader of the liquid democracy movement and now a candidate for California Assembly District 19, which centers on the western half of San Francisco. He is ardently committed to the concept, and despite its novelty, believes that this is the path forward for improving governance….
Following college (which he began at age 16) and a few startup jobs, Ernst began working as CTO of a startup called Numerai, a crypto-backed decentralized hedge fund that allows data scientists to earn money when they solve data challenges. “The idea was that we can include many more people to participate in the system who weren’t able to before,” Ernst explained. That’s when it hit him that the decentralized nature of blockchain could allow for more participation in politics, fusing his two passions.
Ernst followed the campaign of the Flux Party in Australia in 2016, which is trying to implement what it calls “issue-based direct democracy” in that country’s legislature. “That was when something clicked,” he said. A congressman for example could commit to voting the calculated liquid democracy position, and “We could elect these sort of remote-controlled politicians as a way to graft this new system onto the old system.”
He built a platform called United.vote to handle the logistics of selecting personal representatives and voting on issues. More importantly, the app then tracks how those votes compare to the votes of congressmen and provides a scorecard….(More)”.