Artificial Intelligence and the Social and Behavioral Sciences

David Canter reveals how he discovered Microsoft Copilot acted like a lazy student, inventing responses with apparent confidence that were blatantly wrong. […]

The interactional skill of large language models enables them to carry out qualitative research interviews at speed and scale. Demonstrating the ability of these new techniques in a range of qualitative enquiries, Friedrich Geiecke and Xavier Jaravel, present a new open source platform to support this new form of qualitative research.

The large language models, or LLMs, that underlie generative AI tools such as OpenAI’s ChatGPT, have an ethical challenge in how they parasitize freely available data.

The slow, relentless creep of computing is currently in overdrive with powerful artificial intelligence tools impacting every aspect of our lives. What […]

Economist Daron Acemoglu, professor at the Massachusetts Institute of Technology, discusses the history of technological revolutions in the last millennium and what they may tell us about artificial intelligence today.

Philosophy has been instrumental to AI since its inception, and should still be an important contributor as artificial intelligence evolves..

In this article, Sanghyub John Lee and Rouxelle de Villiers reflect on the inspiration of the research article, “Unveiling Emotional Intensity in Online Reviews: […]

In this article, Vanessa C. Hasse reflects upon what drove her interest in researching rare but impactful events, as well as the […]

The new AI Disclosures Project seeks to create structures that both recognize the commercial enticements of AI while ensuring that issues of safety and equity are front and center in the decisions private actors make about AI deployment.

If schools provide the proper support and resources, they will help educators move from anxiety to empowerment when integrating AI into the classroom.

The National Academies of Sciences will be holding part two of The Hauser Policy Impact Fund Webinar Series on July 25, 2024. […]

On July 2, 2024, the National Academies of Sciences will hold the fourth installment of their workshop series on Human and Organizational […]

The authors describe how their study investigated how middle managers perceive the impacts of AI-system integration on their work characteristics in the financial services industry.

Social sciences can also inform the design and creation of ethical frameworks and guidelines for AI development and for deployment into systems. Social scientists can contribute expertise: on data quality, equity, and reliability; on how bias manifests in AI algorithms and decision-making processes; on how AI technologies impact marginalized communities and exacerbate existing inequities; and on topics such as fairness, transparency, privacy, and accountability.

This two-part webinar series, funded through the Hauser Policy Impact Fund, will explore the Division of Behavioral and Social Sciences and Education’s […]

This month’s installment of The Evidence explores how leading ethics experts are responding to the urgent dilemma of gender bias in AI. […]

By carefully interrogating the system of economic incentives underlying innovations and how technologies are monetized in practice, we can generate a better understanding of the risks, both economic and technological, nurtured by a market’s structure.

You’ve likely heard the hype around artificial intelligence, or AI, but do you find ChatGPT genuinely useful in your professional life? A free course offered by Sage Campus could change all th

The authors review the ways in which data analytics and artificial intelligence can engender more stability and efficiency in megaprojects. They evaluate the present and likely future use of digital technology—particularly with regard to construction projects — discuss the likely benefits, and also consider some of the challenges around digitization.

David Canter reviews his experience of filling in automated forms online for the same thing but getting very different answers, revealing the value systems built into these supposedly neutral processes.

The U.S. National Science Foundation’s new Responsible Design, Development, and Deployment of Technologies (ReDDDoT) program supports research, implementation, and educational projects for multidisciplinary, multi-sector teams

In the following Q&A, Roger J. Kreuz, a psychology professor who is working on a manuscript about the history and psychology of plagiarism, explains the nature and prevalence of plagiarism and the challenges associated with detecting it in the age of AI.

David Canter is horrified by the power of readily available large language technology.

Cryptocurrencies are so last year. Today’s moral panic is about AI and machine learning. Governments around the world are hastening to adopt […]

The double-blind review process, adopted by many publishers and funding agencies, plays a vital role in maintaining fairness and unbiasedness by concealing the identities of authors and reviewers. However, in the era of artificial intelligence (AI) and big data, a pressing question arises: can an author’s identity be deduced even from an anonymized paper (in cases where the authors do not advertise their submitted article on social media)?

Empathic consciousness in AI opens new horizons in service that puts the relationship between the machines and the humans in exciting and uncharted territories.

Meredith Broussard, one of the few Black women doing research in artificial intelligence, would like to see us tackling the problems that have been shown to be prevalent in today’s AI systems, especially the issue of bias based on race, gender, or ability.

Carnegie Mellon University has received a five-year, $20 million award from the U.S. National Science Foundation to lead an institute that will employ social scientists and artificial intelligence researchers to create human-centric AI tools to help people address challenges on the job.

Machine learning tools like chatbots and virtual assistants can emulate the work of psychologists and psychotherapists and are even helping to address people’s basic therapeutic needs.

The topic of robots and humans working together in teams, so-called mixed human-robot teams, is of particular interest, as teams are the norm in the workplace for many of us.

Who will use AI-assisted writing tools — and what will they use them for? The short answer, says Katie Metzler, is everyone and for almost every task that involves typing.

Artificial intelligence tools like OpenAI’s ChatGPT language model could make completing college coursework as simple as asking a computer questions and getting answers at the click of a button (to the prospective horror of some professors). In fact, 61 percent of college students say using AI tools will become the new normal, but does that new normal involve students learning or machines learning?

David Canter considers some implications of ChatGPT and what it tells us about real intelligence, general, artificial or otherwise.

The role of AI in the production of research papers is rapidly moving from being a futuristic vision, towards an everyday reality; a situation with significant consequences for research integrity and the detection of fraudulent research. Rebecca Lawrence and Sabina Alam argue that for publishers, collaboration and open research workflows are key to ensuring the reliability of the scholarly record.

ChatGPT is by no means a perfect accessory for the modern academic – but it might just get there.

The authors have identified a convergence among architectures, reflecting a combination of neural, behavioral and computational studies and so have begun a communitywide effort to capture this convergence.

According to NIST’s Reva Schwartz, bias manifests itself not only in artificial intelligence algorithms and the data used to train them, but also in the societal context in which AI systems are used. 

David Canter follows his concern that psychologists are losing contact with people by considering how computers are presented as replacements for human ‘intelligence’. This ignores the importance of in situ person to person contact, which has been shown by the COVID pandemic to be so crucial for people.

At the moment, little guidance, policy or oversight is available regarding technology, AI and academic integrity for teachers and educational leaders.

As I write this, I am using text-to-speech technology, a nifty online feature that enables the reader to listen to, rather than […]

The big idea The scientific community worldwide has mobilized with unprecedented speed to tackle the COVID-19 pandemic, and the emerging research output […]

Transcribing can be a pain, and although recent progress in speech recognition software has helped, it remains a challenge. Speech recognition programs, do, however, raise ethical/consent issues: what if person-identifiable interview data is transcribed or read by someone who was not given the consent to do so? Furthermore, some conversational elements aren’t transcribed well by pattern recognition programs.

Most institutions see the market as the only legitimate form of organization, but different visions towards public policy, some involving artificial intelligence, have been the subject of consideration from academics and politicians alike. Under what circumstances, and to what extent, could artificial intelligence replace the market as the end-all guiding force in crafting reasonable public policy? Brexit may play a leading role in the transition.

Outsourcing our memories — or actually forgetting once-vital skills that no longer matter in our daily lives — has always been with humanity. But how does the drift to artificial intelligence reflect what’s always been the case versus what should be a special case?

In the latest of its monthly series of interdisciplinary microsites addressing important public issues, SAGE Publishing is offering free access to a suite academic articles that focus on artificial intelligence.

The founder of StateReviewer outlines a future where humans are written out of the publication process by artificial intelligence. But is the goal of eradicating bias and other malignancies potentially opening the door to a new set of ills?

The latest attempt to show a machine can pass itself off as human relied a little too heavily on letter of Turing’s test and not its spirit.