Using ChatGPT for analytics

Curated on Posted on by Stefaan Verhulst

Paper by Aleksei Turobov et al: “The utilisation of AI-driven tools, notably ChatGPT (Generative Pre-trained Transformer), within academic research is increasingly debated from several perspectives including ease of implementation, and potential enhancements in research efficiency, as against ethical concerns and risks such as biases and unexplained AI operations. This paper explores the use of the GPT model for initial coding in qualitative thematic analysis using a sample of United Nations (UN) policy documents. The primary aim of this study is to contribute to the methodological discussion regarding the integration of AI tools, offering a practical guide to validation for using GPT as a collaborative research assistant. The paper outlines the advantages and limitations of this methodology and suggests strategies to mitigate risks. Emphasising the importance of transparency and reliability in employing GPT within research methodologies, this paper argues for a balanced use of AI in supported thematic analysis, highlighting its potential to elevate research efficacy and outcomes…(More)”.

Missions with Impact: A practical guide to formulating effective missions

Curated on Posted on by Stefaan Verhulst

Guide by the Bertelsmann Stiftung: “The complex challenges associated with sustainability transitions pose major problems for modern political systems and raise the question of whether new ways of negotiation, decision-making and implementation are needed to address these challenges. For example, given the broad-reaching effects of an issue like climate change on diverse aspects of daily life, policy fields and action areas, conventional solutions are unlikely to prove effective.

Mission orientation proves to be a promising approach for addressing cross-cutting thematic challenges. It involves formulating well-defined “missions” intended to direct innovation, economic activities and societal initiatives toward desired outcomes. These missions aim for transformational change, targeting fundamental shifts that extend beyond the usual political timelines to ensure enduring impact. Across several OECD countries and at the EU level, initiatives embracing a mission-oriented approach are gaining momentum. For instance, the EU’s mission of “100 climate-neutral cities” exemplifies this approach by exploring new pathways to achieve climate neutrality by 2030. Here, stakeholders from diverse sectors can get involved to help generate effective solutions targeting the objective of climate neutrality…(More)”.

Seeing Like a Data Structure

Curated on Posted on by Stefaan Verhulst

Essay by Barath Raghavan and Bruce Schneier: “Technology was once simply a tool—and a small one at that—used to amplify human intent and capacity. That was the story of the industrial revolution: we could control nature and build large, complex human societies, and the more we employed and mastered technology, the better things got. We don’t live in that world anymore. Not only has technology become entangled with the structure of society, but we also can no longer see the world around us without it. The separation is gone, and the control we thought we once had has revealed itself as a mirage. We’re in a transitional period of history right now.

We tell ourselves stories about technology and society every day. Those stories shape how we use and develop new technologies as well as the new stories and uses that will come with it. They determine who’s in charge, who benefits, who’s to blame, and what it all means.

Some people are excited about the emerging technologies poised to remake society. Others are hoping for us to see this as folly and adopt simpler, less tech-centric ways of living. And many feel that they have little understanding of what is happening and even less say in the matter.

But we never had total control of technology in the first place, nor is there a pretechnological golden age to which we can return. The truth is that our data-centric way of seeing the world isn’t serving us well. We need to tease out a third option. To do so, we first need to understand how we got here…(More)”

Training new teachers with digital simulations

Curated on Posted on by Stefaan Verhulst

Report by the Susan McKinnon Foundation: “This report shows the findings of a rapid review of the global literature on immersive simulation for teacher preparation. It finds that immersive digital simulations – and corresponding supports – can create significant positive shifts in trainee teacher skills, knowledge, and self-efficacy. The evidence is strong; of the 35 articles in our review, 30 studies show positive improvements in trainee teacher outcomes. The 30 studies showing positive effects include studies with rigorous designs, including a comprehensive systematic review with many well designed randomised controlled studies (the ‘gold standard’ of research). Benefits are seen across a range of teaching skills, from classroom management and teaching instruction through to better communication skills with parents and colleagues.


Six active ingredients in the implementation of digital simulations are important. This includes incorporating opportunities for: [1] instructional coaching, [2] feedback, [3] observation, [4] visual examples or models of best practice, [5] high dosage, that is, practicing many times over and [6]
strong underpinning theory and content… (More)”.

LOGIC: Good Practice Principles for Mainstreaming Behavioural Public Policy

Curated on Posted on by Stefaan Verhulst

OECD Report: “This report outlines good practice principles intended to encourage the incorporation of behavioural perspectives as part of standard policymaking practice in government and governmental organisations. Evidence from the behavioural sciences is potentially transformative in many areas of government policy and administration. The 14 good practice principles, organised into five dimensions, present a guide to the consistent production and application of useful behavioural science evidence. Governments and governmental organisations looking to mainstream behavioural public policy may use the good practice principles and case studies included in this report to assess their current policy systems and develop strategies to further improve them…(More)”

Generative AI and Democracy: Impacts and Interventions

Curated on Posted on by Stefaan Verhulst

Report by Demos (UK): “This week’s election announcement has set all political parties firmly into campaign mode and over the next 40 days the public will be weighing up who will get their vote on 4th July.

This democratic moment, however, will take place against the backdrop of a new and largely untested threat; generative-AI. In the lead up to the election, the strength of our electoral integrity is likely to be tested by the spread of AI-generated content and deepfakes – an issue that over 60% of the public are concerned about, according to recent Demos and Full Fact polling.

Our new paper takes a look at the near and long-term solutions at our disposal for bolstering the resilience of our democratic institutions amidst the modern technological age. We explore the top four pressing mechanisms by which generative-AI challenges the stability of democracy, and how to mitigate them…(More)”.

Science in the age of AI

Curated on Posted on by Stefaan Verhulst

Report by the Royal Society: “The unprecedented speed and scale of progress with artificial intelligence (AI) in recent years suggests society may be living through an inflection point. With the growing availability of large datasets, new algorithmic techniques and increased computing power, AI is becoming an established tool used by researchers across scientific fields who seek novel solutions to age-old problems. Now more than ever, we need to understand the extent of the transformative impact of AI on science and what scientific communities need to do to fully harness its benefits. 

This report, Science in the age of AI (PDF), explores how AI technologies, such as deep learning or large language models, are transforming the nature and methods of scientific inquiry. It also explores how notions of research integrity; research skills or research ethics are inevitably changing, and what the implications are for the future of science and scientists. 

The report addresses the following questions: 

  • How are AI-driven technologies transforming the methods and nature of scientific research? 
  • What are the opportunities, limitations, and risks of these technologies for scientific research? 
  • How can relevant stakeholders (governments, universities, industry, research funders, etc) best support the development, adoption, and uses of AI-driven technologies in scientific research? 

In answering these questions, the report integrates evidence from a range of sources, including research activities with more than 100 scientists and the advisement of an expert Working group, as well as a taxonomy of AI in science (PDF), a historical review (PDF) on the role of disruptive technologies in transforming science and society, and a patent landscape review (PDF) of artificial intelligence related inventions, which are available to download…(More)”

What are location services and how do they work?

Curated on Posted on by Stefaan Verhulst

Article by Douglas Crawford: “Location services refer to a combination of technologies used in devices like smartphones and computers that use data from your device’s GPS, WiFi, mobile (cellular networks), and sometimes even Bluetooth connections to determine and track your geographic location.

This information can be accessed by your operating system (OS) and the apps installed on your device. In many cases, this allows them to perform their purpose correctly or otherwise deliver useful content and features. 

For example, navigation/map, weather, ridesharing (such Uber or Lyft), and health and fitness tracking apps require location services to perform their functions, while dating, travel, and social media apps can offer additional functionality with access to your device’s location services (such as being able to locate a Tinder match or see recommendations for nearby restaurants ).

There’s no doubt location services (and the apps that use them) can be useful. However, the technology can be (and is) also abused by apps to track your movements. The apps then usually sell this information to advertising and analytics companies  that combine it with other data to create a profile of you, which they can then use to sell ads. 

Unfortunately, this behavior is not limited to “rogue” apps. Apps usually regarded as legitimate, including almost all Google apps, Facebook, Instagram, and others, routinely send detailed and highly sensitive location details back to their developers by default. And it’s not just apps — operating systems themselves, such as Google’s Android and Microsoft Windows also closely track your movements using location services. 

This makes weighing the undeniable usefulness of location services with the need to maintain a basic level of privacy a tricky balancing act. However, because location services are so easy to abuse, all operating systems include built-in safeguards that give you some control over their use.

In this article, we’ll look at how location services work..(More)”.

The not-so-silent type: Vulnerabilities across keyboard apps reveal keystrokes to network eavesdroppers

Curated on Posted on by Stefaan Verhulst

Report by Jeffrey Knockel, Mona Wang, and Zoë Reichert: “Typing logographic languages such as Chinese is more difficult than typing alphabetic languages, where each letter can be represented by one key. There is no way to fit the tens of thousands of Chinese characters that exist onto a single keyboard. Despite this obvious challenge, technologies have developed which make typing in Chinese possible. To enable the input of Chinese characters, a writer will generally use a keyboard app with an “Input Method Editor” (IME). IMEs offer a variety of approaches to inputting Chinese characters, including via handwriting, voice, and optical character recognition (OCR). One popular phonetic input method is Zhuyin, and shape or stroke-based input methods such as Cangjie or Wubi are commonly used as well. However, used by nearly 76% of mainland Chinese keyboard users, the most popular way of typing in Chinese is the pinyin method, which is based on the pinyin romanization of Chinese characters.

All of the keyboard apps we analyze in this report fall into the category of input method editors (IMEs) that offer pinyin input. These keyboard apps are particularly interesting because they have grown to accommodate the challenge of allowing users to type Chinese characters quickly and easily. While many keyboard apps operate locally, solely within a user’s device, IME-based keyboard apps often have cloud features which enhance their functionality. Because of the complexities of predicting which characters a user may want to type next, especially in logographic languages like Chinese, IMEs often offer “cloud-based” prediction services which reach out over the network. Enabling “cloud-based” features in these apps means that longer strings of syllables that users type will be transmitted to servers elsewhere. As many have previously pointed out, “cloud-based” keyboards and input methods can function as vectors for surveillance and essentially behave as keyloggers. While the content of what users type is traveling from their device to the cloud, it is additionally vulnerable to network attackers if not properly secured. This report is not about how operators of cloud-based IMEs read users’ keystrokes, which is a phenomenon that has already been extensively studied and documented. This report is primarily concerned with the issue of protecting this sensitive data from network eavesdroppers…(More)”.

The citizen’s panel on AI issues its report

Curated on Posted on by Stefaan Verhulst

Belgian presidency of the European Union: “Randomly select 60 citizens from all four corners of Belgium. Give them an exciting topic to explore. Add a few local players. Season with participation experts. Bake for three weekends at the Egmont Palace conference centre. And you’ll end up with the rich and ambitious views of citizens on the future of artificial intelligence (AI) in the European Union.

This is the recipe that has been in progress since February 2024, led by the Belgian presidency of the European Union, with the ambition of involving citizens in this strategic field and enriching the debate on AI, which has been particularly lively in recent months as part of the drafting of the AI Act recently adopted by the European Parliament.

And the initiative really cut the mustard, as the 60 citizens worked enthusiastically, overcoming their apprehensions about a subject as complex as AI. In a spirit of collective intelligence, they dove right into the subject, listening to speakers from academia, government, civil society and the private sector, and sharing their experiences and knowledge. Some of them were just discovering AI, while others were already using it. They turned this diversity into a richness, enabling them to write a report on citizens’ views that reflects the various aspirations of the Belgian population.

At the end of the three weekends, the citizens almost unanimously adopted a precise and ambitious report containing nine key messages focusing on the need for a responsible, ambitious and beneficial approach to AI, ensuring that it serves the interests of all and leaves no one behind…(More)”