Someone Put Facial Recognition Tech onto Meta’s Smart Glasses to Instantly Dox Strangers

Curated on Posted on by Stefaan Verhulst

Article by Joseph Cox: “A pair of students at Harvard have built what big tech companies refused to release publicly due to the overwhelming risks and danger involved: smart glasses with facial recognition technology that automatically looks up someone’s face and identifies them. The students have gone a step further too. Their customized glasses also pull other information about their subject from around the web, including their home address, phone number, and family members. 

The project is designed to raise awareness of what is possible with this technology, and the pair are not releasing their code, AnhPhu Nguyen, one of the creators, told 404 Media. But the experiment, tested in some cases on unsuspecting people in the real world according to a demo video, still shows the razor thin line between a world in which people can move around with relative anonymity, to one where your identity and personal information can be pulled up in an instant by strangers.

Nguyen and co-creator Caine Ardayfio call the project I-XRAY. It uses a pair of Meta’s commercially available Ray Ban smart glasses, and allows a user to “just go from face to name,” Nguyen said…(More)”.

From Bits to Biology: A New Era of Biological Renaissance powered by AI

Curated on Posted on by Stefaan Verhulst

Article by Milad Alucozai: “…A new wave of platforms is emerging to address these limitations. Designed with the modern scientist in mind, these platforms prioritize intuitive interfaces, enabling researchers with diverse computational backgrounds to easily navigate and analyze data. They emphasize collaboration, allowing teams to share data and insights seamlessly. And they increasingly incorporate artificial intelligence, offering powerful tools for accelerating analysis and discovery. This shift marks a move towards more user-centric, efficient, and collaborative computational biology, empowering researchers to tackle increasingly complex biological questions. 

Emerging Platforms: 

  • Seqera Labs: Spearheading a movement towards efficient and reproducible research, Seqera Labs provides a suite of tools, including the popular open-source workflow language Nextflow. Their platform empowers researchers to design scalable and reproducible data analysis pipelines, particularly for cloud environments. Seqera streamlines complex computational workflows across diverse biological disciplines by emphasizing automation and flexibility, making data-intensive research scalable, flexible, and collaborative. 
  • Form Bio: Aimed at democratizing access to computational biology, Form Bio provides a comprehensive tech suite built to enable accelerated cell and gene therapy development and computational biology at scale. Its emphasis on collaboration and intuitive design fosters a more inclusive research environment to help organizations streamline therapeutic development and reduce time-to-market.  
  • Code Ocean: Addressing the critical need for reproducibility in research, Code Ocean provides a unique platform for sharing and executing research code, data, and computational environments. By encapsulating these elements in a portable and reproducible format, Code Ocean promotes transparency and facilitates the reuse of research methods, ultimately accelerating scientific discovery. 
  • Pluto Biosciences: Championing a collaborative approach to biological discovery, Pluto Biosciences offers an interactive platform for visualizing and analyzing complex biological data. Its intuitive tools empower researchers to explore data, generate insights, and seamlessly share findings with collaborators. This fosters a more dynamic and interactive research process, facilitating knowledge sharing and accelerating breakthroughs. 

 Open Source Platform: 

  • Galaxy: A widely used open-source platform for bioinformatics analysis. It provides a user-friendly web interface and a vast collection of tools for various tasks, from sequence analysis to data visualization. Its open-source nature fosters community development and customization, making it a versatile tool for diverse research needs. 
  • Bioconductor is a prominent open-source platform for bioinformatics analysis, akin to Galaxy’s commitment to accessibility and community-driven development. It leverages the power of the R programming language, providing a wealth of packages for tasks ranging from genomic data analysis to statistical modeling. Its open-source nature fosters a collaborative environment where researchers can freely access, utilize, and contribute to a growing collection of tools…(More)”

Data-driven decisions: the case for randomised policy trials

Curated on Posted on by Stefaan Verhulst

Speech by Andrew Leigh: “…In 1747, 31-year-old Scottish naval surgeon James Lind set about determining the most effective treatment for scurvy, a disease that was killing thousands of sailors around the world. Selecting 12 sailors suffering from scurvy, Lind divided them into six pairs. Each pair received a different treatment: cider; sulfuric acid; vinegar; seawater; a concoction of nutmeg, garlic and mustard; and two oranges and a lemon. In less than a week, the pair who had received oranges and lemons were back on active duty, while the others languished. Given that sulphuric acid was the British Navy’s main treatment for scurvy, this was a crucial finding.

The trial provided robust evidence for the powers of citrus because it created a credible counterfactual. The sailors didn’t choose their treatments, nor were they assigned based on the severity of their ailment. Instead, they were randomly allocated, making it likely that difference in their recovery were due to the treatment rather than other characteristics.

Lind’s randomised trial, one of the first in history, has attained legendary status. Yet because 1747 was so long ago, it is easy to imagine that the methods he used are no longer applicable. After all, Lind’s research was conducted at a time before electricity, cars and trains, an era when slavery was rampant and education was reserved for the elite. Surely, some argue, ideas from such an age have been superseded today.

In place of randomised trials, some put their faith in ‘big data’. Between large-scale surveys and extensive administrative datasets, the world is awash in data as never before. Each day, hundreds of exabytes of data are produced. Big data has improved the accuracy of weather forecasts, permitted researchers to study social interactions across racial and ethnic lines, enabled the analysis of income mobility at a fine geographic scale and much more…(More)”

Mapmatics: A Mathematician’s Guide to Navigating the World

Curated on Posted on by Stefaan Verhulst

Book by Paulina Rowińska: “Why are coastlines and borders so difficult to measure? How does a UPS driver deliver hundreds of packages in a single day? And where do elusive serial killers hide? The answers lie in the crucial connection between maps and math.

In Mapmatics, mathematician Paulina Rowińska leads us on a riveting journey around the globe to discover how maps and math are deeply entwined, and always have been. From a sixteenth-century map, an indispensable navigation tool that exaggerates the size of northern countries, to public transport maps that both guide and confound passengers, to congressional maps that can empower or silence whole communities, she reveals how maps and math have shaped not only our sense of space but our worldview. In her hands, we learn how to read maps like a mathematician—to extract richer information and, just as importantly, to question our conclusions by asking what we don’t see…(More)”.

Orphan Articles: The Dark Matter of Wikipedia

Curated on Posted on by Stefaan Verhulst

Paper by Akhil Arora, Robert West, Martin Gerlach: “With 60M articles in more than 300 language versions, Wikipedia is the largest platform for open and freely accessible knowledge. While the available content has been growing continuously at a rate of around 200K new articles each month, very little attention has been paid to the accessibility of the content. One crucial aspect of accessibility is the integration of hyperlinks into the network so the articles are visible to readers navigating Wikipedia. In order to understand this phenomenon, we conduct the first systematic study of orphan articles, which are articles without any incoming links from other Wikipedia articles, across 319 different language versions of Wikipedia. We find that a surprisingly large extent of content, roughly 15\% (8.8M) of all articles, is de facto invisible to readers navigating Wikipedia, and thus, rightfully term orphan articles as the dark matter of Wikipedia. We also provide causal evidence through a quasi-experiment that adding new incoming links to orphans (de-orphanization) leads to a statistically significant increase of their visibility in terms of the number of pageviews. We further highlight the challenges faced by editors for de-orphanizing articles, demonstrate the need to support them in addressing this issue, and provide potential solutions for developing automated tools based on cross-lingual approaches. Overall, our work not only unravels a key limitation in the link structure of Wikipedia and quantitatively assesses its impact, but also provides a new perspective on the challenges of maintenance associated with content creation at scale in Wikipedia…(More)”.

Who Owns AI?

Curated on Posted on by Stefaan Verhulst

Paper by Amy Whitaker: “While artificial intelligence (AI) stands to transform artistic practice and creative industries, little has been theorized about who owns AI for creative work. Lawsuits brought against AI companies such as OpenAI and Meta under copyright law invite novel reconsideration of the value of creative work. This paper synthesizes across copyright, hybrid practice, and cooperative governance to work toward collective ownership and decision-making. This paper adds to research in arts entrepreneurship because copyright and shared value is so vital to the livelihood of working artists, including writers, filmmakers, and others in the creative industries. Sarah Silverman’s lawsuit against OpenAI is used as the main case study. The conceptual framework of material and machine, one and many, offers a lens onto value creation and shared ownership of AI. The framework includes a reinterpretation of the fourth factor of fair use under U.S. copyright law to refocus on the doctrinal language of value. AI uses the entirety of creative work in a way that is overlooked because of the small scale of one whole work relative to the overall size of the AI model. Yet a theory of value for creative work gives it dignity in its smallness, the way that one vote still has dignity in a national election of millions. As we navigate these frontiers of AI, experimental models pioneered by artists may be instructive far outside the arts…(More)”.

‘Evidence banks’ can drive better decisions in public life

Curated on Posted on by Stefaan Verhulst

Article by Anjana Ahuja: “Modern life is full of urgent questions to which governments should be seeking answers. Does working from home — WFH — damage productivity? Do LTNs (low-traffic neighbourhoods) cut air pollution? Are policy ideas that can be summed up in three-letter acronyms more palatable to the public than those, say Ulez, requiring four? 

That last one is tongue-in-cheek — but the point stands. While clinical trials can tell us reasonably confidently whether a drug or treatment works, a similar culture of evaluation is generally lacking for other types of intervention, such as crime prevention. Now research funders are stepping into the gap to build “evidence banks” or evidence syntheses: globally accessible one-stop shops for assessing the weight of evidence on a particular topic.

Last month, the Economic and Social Research Council, together with the Wellcome Trust, pledged a total of around £54mn to develop a database and tools that can collate and make sense of evidence in complex areas like climate change and healthy ageing. The announcement, Nature reports, was timed to coincide with the UN Summit of the Future, a conference in New York geared to improving the world for future generations.

Go-to repositories of good quality information that can feed the policy machine are essential. They normalise the role of robust evidence in public life. This matters: the policy pipeline has too often lacked due diligence. That can mean public money being squandered on ineffective wheezes, or worse.

Take Scared Straight, a crime prevention scheme originating in the US around 40 years ago and adopted in the UK. It was designed to keep teens on the straight and narrow by introducing them to prisoners. Those dalliances with delinquents were counterproductive. A review showed that children taking part were more likely to end up committing crimes than those who did not participate in the scheme…(More)”.

Challenging the neutrality myth in climate science and activism

Curated on Posted on by Stefaan Verhulst

Article by Christel W. van Eck, Lydia Messling & Katharine Hayhoe: “The myth of a scientist as a purely rational thinker, a “brain in a jar” devoid of emotions and values, still exists in some scientific circles. However, philosophers of science have long shown that it is a fundamental misconception to believe that science can be entirely free of social, political, and ethical values, and function as a neutral entity. As Lynda Walsh explains compellingly in “Scientists as Prophets,” the question of how scientists ought to engage with society is a value judgement itself3. This is particularly true in complex crises like climate change where traditional democratic debate alone cannot ascertain the optimal course of action. Scientists often play a crucial role in such crises, not only through conducting rigorous research, but also through engaging in dialogue with society by framing their research in terms of societal values – which includes rejecting the notion of morally neutral engagement.

This school of thought was recently challenged in a comment in Nature Climate Action titled “The importance of distinguishing climate science from climate activism” In it, Ulf Büntgen, a Professor of Environmental Systems Analysis at Cambridge University, communicated his personal concerns about climate scientists engaging in activism. The comment sparked considerable debate on social media, particularly among climate scientists, many of whom reject the views presented by Büntgen.

We believe a response is necessary, as many of Büntgen’s assumptions are unnuanced or unjustified. It is difficult to provide a full critique when Büntgen has not clearly defined what he means by ‘climate activism’, ‘quasi-religious belief’, or ‘a priori interests’, nor explicit examples evidencing what sort of interaction he finds to be objectionable. However, whether scientists consider certain activities to be activism, and their opinions on colleagues who engage in such activities, along with the general public’s perception of these activities, has been the subject of multiple research studies. While the opinion of an individual scientist is interesting, we argue it is not representative of the broader community’s views nor does it reflect the efficacy of such actions. Furthermore, by making unilateral value-based judgements, we propose that Büntgen is engaging in precisely the activity he deprecates…(More)”

Citizen scientists will be needed to meet global water quality goals

Curated on Posted on by Stefaan Verhulst

University College London: “Sustainable development goals for water quality will not be met without the involvement of citizen scientists, argues an international team led by a UCL researcher, in a new policy brief.

The policy brief and attached technical brief are published by Earthwatch Europe on behalf of the United Nations Environment Program (UNEP)-coordinated World Water Quality Alliance that has supported citizen science projects in Kenya, Tanzania and Sierra Leone. The reports detail how policymakers can learn from examples where citizen scientists (non-professionals engaged in the scientific process, such as by collecting data) are already making valuable contributions.

The report authors focus on how to meet one of the UN’s Sustainable Development Goals around improving water quality, which the UN states is necessary for the health and prosperity of people and the planet…

“Locals who know the water and use the water are both a motivated and knowledgeable resource, so citizen science networks can enable them to provide large amounts of data and act as stewards of their local water bodies and sources. Citizen science has the potential to revolutionize the way we manage water resources to improve water quality.”…

The report authors argue that improving water quality data will require governments and organizations to work collaboratively with locals who collect their own data, particularly where government monitoring is scarce, but also where there is government support for citizen science schemes. Water quality improvement has a particularly high potential for citizen scientists to make an impact, as professionally collected data is often limited by a shortage of funding and infrastructure, while there are effective citizen science monitoring methods that can provide reliable data.

The authors write that the value of citizen science goes beyond the data collected, as there are other benefits pertaining to education of volunteers, increased community involvement, and greater potential for rapid response to water quality issues…(More)”.

The Unaccountability Machine — why do big systems make bad decisions?

Curated on Posted on by Stefaan Verhulst

FT Review of book by Dan Davies: “The starting point of Davies’ entertaining, insightful book is that the uncontrolled proliferation of accountability sinks is one of the central drivers of what historian Adam Tooze calls the “polycrisis” of the 21st century. Their influence reaches far beyond frustrated customers endlessly on hold to “computer says no” service departments. In finance, banking crises regularly recur — yet few individual bankers are found at fault. If politicians’ promises flop, they complain they have no power; the Deep State is somehow to blame.

The origin of the problem, Davies argues, is the managerial revolution that began after the second world war, abetted by the advent of cheap computing power and the diffusion of algorithmic decision-making into every sphere of life. These systems have ended up “acting like a car’s crumple-zone to shield any individual manager from a disastrous decision”, he writes. While attractive from the individual’s perspective, they scramble the feedback on which society as a whole depends.

Yet the story, Davies continues, is not so simple. Seen from another perspective, accountability sinks are entirely reasonable responses to the ever-increasing complexity of modern economies. Standardisation and explicit policies and procedures offer the only feasible route to meritocratic recruitment, consistent service and efficient work. Relying on the personal discretion of middle managers would simply result in a different kind of mess…(More)”.