One of New York City’s most urgent design challenges is invisible


Diana Budds at Curbed: “Algorithms are invisible, but they already play a large role in shaping New York City’s built environment, schooling, public resources, and criminal justice system. Earlier this year, the City Council and Mayor Bill de Blasio formed the Automated Decision Systems Task Force, the first of its kind in the country, to analyze how NYC deploys automated systems to ensure fairness, equity, and accountability are upheld.

This week, 20 experts in the field of civil rights and artificial intelligence co-signed a letter to the task force to help influence its official report, which is scheduled to be published in December 2019.

The letter’s recommendations include creating a publicly accessible list of all the automated decision systems in use; consulting with experts before adopting an automated decision system; creating a permanent government body to oversee the procurement and regulation of automated decision systems; and upholding civil liberties in all matters related to automation. This could lay the groundwork for future legislation around automation in the city….Read the full letter here.”

Countries Can Learn from France’s Plan for Public Interest Data and AI


Nick Wallace at the Center for Data Innovation: “French President Emmanuel Macron recently endorsed a national AI strategy that includes plans for the French state to make public and private sector datasets available for reuse by others in applications of artificial intelligence (AI) that serve the public interest, such as for healthcare or environmental protection. Although this strategy fails to set out how the French government should promote widespread use of AI throughout the economy, it will nevertheless give a boost to AI in some areas, particularly public services. Furthermore, the plan for promoting the wider reuse of datasets, particularly in areas where the government already calls most of the shots, is a practical idea that other countries should consider as they develop their own comprehensive AI strategies.

The French strategy, drafted by mathematician and Member of Parliament Cédric Villani, calls for legislation to mandate repurposing both public and private sector data, including personal data, to enable public-interest uses of AI by government or others, depending on the sensitivity of the data. For example, public health services could use data generated by Internet of Things (IoT) devices to help doctors better treat and diagnose patients. Researchers could use data captured by motorway CCTV to train driverless cars. Energy distributors could manage peaks and troughs in demand using data from smart meters.

Repurposed data held by private companies could be made publicly available, shared with other companies, or processed securely by the public sector, depending on the extent to which sharing the data presents privacy risks or undermines competition. The report suggests that the government would not require companies to share data publicly when doing so would impact legitimate business interests, nor would it require that any personal data be made public. Instead, Dr. Villani argues that, if wider data sharing would do unreasonable damage to a company’s commercial interests, it may be appropriate to only give public authorities access to the data. But where the stakes are lower, companies could be required to share the data more widely, to maximize reuse. Villani rightly argues that it is virtually impossible to come up with generalizable rules for how data should be shared that would work across all sectors. Instead, he argues for a sector-specific approach to determining how and when data should be shared.

After making the case for state-mandated repurposing of data, the report goes on to highlight four key sectors as priorities: health, transport, the environment, and defense. Since these all have clear implications for the public interest, France can create national laws authorizing extensive repurposing of personal data without violating the General Data Protection Regulation (GDPR) which allows national laws that permit the repurposing of personal data where it serves the public interest. The French strategy is the first clear effort by an EU member state to proactively use this clause in aid of national efforts to bolster AI….(More)”.

The economic value of data: discussion paper


HM Treasury (UK): “Technological change has radically increased both the volume of data in the economy, and our ability to process it. This change presents an opportunity to transform our economy and society for the better.

Data-driven innovation holds the keys to addressing some of the most significant challenges confronting modern Britain, whether that is tackling congestion and improving air quality in our cities, developing ground-breaking diagnosis systems to support our NHS, or making our businesses more productive.

The UK’s strengths in cutting-edge research and the intangible economy make it well-placed to be a world leader, and estimates suggest that data-driven technologies will contribute over £60 billion per year to the UK economy by 2020.1 Recent events have raised public questions and concerns about the way that data, and particularly personal data, can be collected, processed, and shared with third party organisations.

These are concerns that this government takes seriously. The Data Protection Act 2018 updates the UK’s world-leading data protection framework to make it fit for the future, giving individuals strong new rights over how their data is used. Alongside maintaining a secure, trusted data environment, the government has an important role to play in laying the foundations for a flourishing data-driven economy.

This means pursuing policies that improve the flow of data through our economy, and ensure that those companies who want to innovate have appropriate access to high-quality and well-maintained data.

This discussion paper describes the economic opportunity presented by data-driven innovation, and highlights some of the key challenges that government will need to address, such as: providing clarity around ownership and control of data; maintaining a strong, trusted data protection framework; making effective use of public sector data; driving interoperability and standards; and enabling safe, legal and appropriate data sharing.

Over the last few years, the government has taken significant steps to strengthen the UK’s position as a world leader in data-driven innovation, including by agreeing the Artificial Intelligence Sector Deal, establishing the Geospatial Commission, and making substantial investments in digital skills. The government will build on those strong foundations over the coming months, including by commissioning an Expert Panel on Competition in Digital Markets. This Expert Panel will support the government’s wider review of competition law by considering how competition policy can better enable innovation and support consumers in the digital economy.

There are still big questions to be answered. This document marks the beginning of a wider set of conversations that government will be holding over the coming year, as we develop a new National Data Strategy….(More)”.

The ‘Datasphere’, Data Flows Beyond Control, and the Challenges for Law and Governance


Paper by Jean-Sylvestre Bergé, Stephane Grumbach and Vincenzo Zeno-Zencovich: “The flows of people, goods and capital, which have considerably increased in recent history, are leading to crises (e.g., migrants, tax evasion, food safety) which reveal the failure to control them. Much less visible, and not yet included in economic measurements, data flows have increased exponentially in the last two decades, with the digitisation of social and economic activities. A new space – Datasphere – is emerging, mostly supported by digital platforms which provide essential services reaching half of the world’s population directly. Their control over data flows raises new challenges to governance, and increasingly conflicts with public administration.

In this paper, we consider the need and the difficulty of regulating this emerging space and the different approaches followed on both sides of the Atlantic. We distinguish between three situations. We first consider data at rest, which is from the point of view of the location where data are physically stored. We then consider data in motion, and the issues related to their combination. Finally, we investigate data in action, that is data as vectors of command of legal or illegal activities over territories, with impacts on economy and society as well as security, and raise governance challenges.

The notion of ‘Datasphere’ proposes a holistic comprehension of all the ‘information’ existing on earth, originating both in natural and socio-economic systems, which can be captured in digital form, flows through networks, and is stored, processed and transformed by machines. It differs from the ‘Cyberspace’, which is mostly concerned with the networks, the technical instruments (from software and protocols to cables and data centers) together with the social activities it allows, and to what extent they could/should be allowed.

The paper suggests one – out of the many possible – approach to this new world. Clearly it would be impossible to delve in depth into all its facets, which are as many as those of the physical world. Rather, it attempts to present how traditional legal notions could be usefully managed to put order in a highly complex environment, avoiding a piecemeal approach that looks only at details….(More)”.

How to Achieve and Sustain Government Digital Transformation


Mike Bracken and Andrew Greenway for IADB: “Digital government is rapidly gathering momentum as an effective way for nations and regions to increase their administrative efficiency, develop resilience, and deliver simpler, clearer, and better services for their citizens and businesses. This report summarizes the conditions and context needed for government digital teams to succeed and be sustained across different administrations. The report explores the conditions needed to establish a digital team, examines the ideal environment to make that team successful, and concludes with the conditions required to help that team sustain as an institution across different political administrations…. (More)”.

Αugmented Nature


About: “The rate of extinction is about a thousand times what it used to be before humans. One species goes extinct every 5 minutes. Over the past 30 years 75% of all insects went extinct. 95% of all large predatory fish that roamed the seas are now gone. It probably comes as no surprise we are living in the 6th mass extinction. The big difference with the previous five is that this one is induced by humans.

Αugmented Nature is a set of robotic tools that help animals adapt to the mass extinction. The tools enhance the capacities of so called Ecosystem Engineer species to reclaim and change their own habitats.

The resilience of an ecosystem is strongly related to its biodiversity. Ecosystem engineers are species that engineer their environment and are highly interconnected within the ecosystem. Think for example of a beaver building a dam and creating wetlands that form the habitat for hundreds of other species. By actively enhancing these types of capabilities in endangered species we aim to provide an answer to the sharp decline in biodiversity.

We propose an active and animal-centered alternative to the current conservation efforts. Our premise is that humans are part of nature. Hence, efforts that try to separate species or revert nature to a certain state in the past (re-wilding, preservation) are not realistic. Nature is a dynamic system and evolution is equally driven by species adapting to change but also by transforming the environment for their purposes.

We worked in close collaboration with scientists to develop the next generation of high-tech biologging tags. These experimental interventions are the first step towards a future where instead of mitigating our impact on nature, we aim for a positive impact.  We demonstrate this approach with two example animals: humpback whales and collared peccaries.,,,(More)”.

Prizes are a powerful spur to innovation and breakthroughs


John Thornhill in the Financial Times: “…All too often today we leave research and innovation in the hands of the so-called professionals, often with disappointing results. Winning a prize often matters less than the stimulus it provides for innovators in neighbouring fields In recent years, there has been an explosion in the number of professional scientists. Unesco estimates that there were 7.8m full-time researchers in 2013.

The number of scientific journals has also increased, making it difficult even for specialists to remain on top of all the latest advances in their field. In spite of this explosion of knowledge and research spending, there has been a striking lack of breakthrough innovations, as economists such as Robert Gordon and Tyler Cowen have noted.

Maybe this is because all the low-hanging technological fruit has been eaten. Or perhaps it is because our research and development methodology has gone awry.

Geoff Mulgan, chief executive of Nesta, is one of those who is trying to revive the concept of prizes as a means of encouraging innovation. His public foundation runs the Challenge Prize Centre, offering awards of up to £10m for innovation in the fields of energy and the environment, healthcare, and community wellbeing. “Setting a specific target, opening up to anyone to meet it, and providing a financial reward if they succeed is the opposite of how most R&D is done,” Mr Mulgan says. “We should all focus more on outcomes than inputs.”…
But these prizes are far from being a panacea. Indeed, they can sometimes lead to perverse results, encouraging innovators to fixate on just one, original goal while ignoring serendipitous surprises along the way. Many innovations are the happy byproduct of research rather than its primary outcome. An academic paper on the effectiveness of innovation prizes concluded that they could be a useful addition to the armoury but were no substitute for other proven forms of research and development. The authors also warned that if prizes were poorly designed, managed, and awarded they could prove “ineffective or even harmful”.

That makes it essential to design competitions in careful and precise detail. It also helps if there are periodic payouts along the way to encourage the most promising ideas. Many companies have embraced the concept of open innovation and increasingly look to collaborate with outside partners to develop fresh ideas, sometimes by means of corporate prizes….(More)”.

Neuroscience for Cities Playbook


Tool resulting from a collaboration between Future Cities Catapult, Centric Lab and University College London: “It brings forward a framework of how neuroscience research can be put into practice in cities. This has been presented as a set of new tools, methodologies and strategies for organisations big and small, to adopt neuroscience insights into their supply chain.

With an aim to reach out to a wide audience from businesses to urban planners and academicians and policymakers, We are sure you will find the playbook a useful resource to explore the potential applications of this important area of research.

This playbook helps cities in three stages. The first is identifying the core environmental stressors, which have the widest mental and physical effects on city citizen, even a small reduction will make a fundamental difference in quality of life. The second is understanding the unintended human consequences of urban trends such as urban sprawl or automation. The final is highlighting the different opportunities for enhancing the user experience of cities through neuroscience-informed technology and urban planning.

The idea of using neuroscience to help design cities only arose in last ten years, and the technology to make it possible in the last three years. We are now on the cusp of a revolution in how metrics from neuroscience inform urban innovation strategies and increase the quality of life of the cities inhabitants. Developments in neuroscience are showing us new ways to understand how people experience the built environment, revealing new opportunities for innovation and improved experiences, leading in turn to greater productivity, wellbeing and attraction. Neuroscientists are also discovering important insights about outcomes for the less advantaged in our cities, providing compelling evidence in support of interventions to tackle the negative health impacts of city living, and ways to reduce barriers to access and opportunity.

Success will be a reduction in mental and physical health outbreaks; less cases of depression, dementia, anxiety disorders, etc. It can be seen in economic terms; a healthy population is a productive population….(More)”.

The Palgrave Handbook of Bottom-Up Urbanism


Book edited by Mahyar Arefi and Conrad Kickert: “Who shapes our cities? In an age of increasing urban pluralism, globalization and immigration, decreasing public budgets, and an ongoing crisis of authority among designers and planners, the urban environment is shaped by a number of non-traditional stakeholders.

The book surveys the kaleidoscope of views on the agency of urbanism, providing an overview of the various scholarly debates and territories that pertain to bottom-up efforts such as everyday urbanism, DIY urbanism, guerilla urbanism, tactical urbanism, and lean urbanism. Uniquely, this books seeks connections between the various movements by curating a range of views on the past, present, and future of bottom-up urbanism. The contributors also connect the recent trend of bottom-up efforts in the West with urban informality in the Global South, drawing parallels and finding contrast between social and institutional structures across the globe. The book appeals to urbanists in the widest sense of the word: those who shape, study, and improve our urban spaces….(More)”.

The Global Council on Extended Intelligence


“The IEEE Standards Association (IEEE-SA) and the MIT Media Lab are joining forces to launch a global Council on Extended Intelligence (CXI) composed of individuals who agree on the following:

One of the most powerful narratives of modern times is the story of scientific and technological progress. While our future will undoubtedly be shaped by the use of existing and emerging technologies – in particular, of autonomous and intelligent systems (A/IS) – there is no guarantee that progress defined by “the next” is beneficial. Growth for humanity’s future should not be defined by reductionist ideas of speed or size alone but as the holistic evolution of our species in positive alignment with the environmental and other systems comprising the modern algorithmic world.

We believe all systems must be responsibly created to best utilize science and technology for tangible social and ethical progress. Individuals, businesses and communities involved in the development and deployment of autonomous and intelligent technologies should mitigate predictable risks at the inception and design phase and not as an afterthought. This will help ensure these systems are created in such a way that their outcomes are beneficial to society, culture and the environment.

Autonomous and intelligent technologies also need to be created via participatory design, where systems thinking can help us avoid repeating past failures stemming from attempts to control and govern the complex-adaptive systems we are part of. Responsible living with or in the systems we are part of requires an awareness of the constrictive paradigms we operate in today. Our future practices will be shaped by our individual and collective imaginations and by the stories we tell about who we are and what we desire, for ourselves and the societies in which we live.

These stories must move beyond the “us versus them” media mentality pitting humans against machines. Autonomous and intelligent technologies have the potential to enhance our personal and social skills; they are much more fully integrated and less discrete than the term “artificial intelligence” implies. And while this process may enlarge our cognitive intelligence or make certain individuals or groups more powerful, it does not necessarily make our systems more stable or socially beneficial.

We cannot create sound governance for autonomous and intelligent systems in the Algorithmic Age while utilizing reductionist methodologies. By proliferating the ideals of responsible participant design, data symmetry and metrics of economic prosperity prioritizing people and the planet over profit and productivity, The Council on Extended Intelligence will work to transform reductionist thinking of the past to prepare for a flourishing future.

Three Priority Areas to Fulfill Our Vision

1 – Build a new narrative for intelligent and autonomous technologies inspired by principles of systems dynamics and design.

“Extended Intelligence” is based on the hypothesis that intelligence, ideas, analysis and action are not formed in any one individual collection of neurons or code…..

2 – Reclaim our digital identity in the algorithmic age

Business models based on tracking behavior and using outdated modes of consent are compounded by the appetites of states, industries and agencies for all data that may be gathered….

3 – Rethink our metrics for success

Although very widely used, concepts of exponential growth and productivity such as the gross domestic product (GDP) index are insufficient to holistically measure societal prosperity. … (More)”.