Could Distributed Peer Review Better Decide Grant Funding?
The landscape of academic grant funding is notoriously competitive and plagued by lengthy, bureaucratic processes, exacerbated by difficulties in finding willing reviewers. Distributed […]
Philosophy Has Been – and Should Be – Integral to AI
Philosophy has been instrumental to AI since its inception, and should still be an important contributor as artificial intelligence evolves..
Stop Buying Cobras: Halting the Rise of Fake Academic Papers
It is estimated that all journals, irrespective of discipline, experience a steeply rising number of fake paper submissions. Currently, the rate is about 2 percent. That may sound small. But, given the large and growing amount of scholarly publications it means that a lot of fake papers are published. Each of these can seriously damage patients, society or nature when applied in practice.
New SSRC Project Aims to Develop AI Principles for Private Sector
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.
Let’s Return to Retractions Being Corrective, Not Punitive
The retraction of academic papers often functions as an indictment against a researcher’s reputation. Tim Kersjes argues that for retractions to function as an effective corrective to the scholarly record, they need shed this punitive reputation.
Uncovering ‘Sneaked References’ in an Article’s Metadata
The authors describe how by chance they learned how some actors have added extra references, invisible in the text but present in the articles’ metadata, when those unscrupulous actors submitted the articles to scientific databases.
How Social Science Can Hurt Those It Loves
David Canter rues the way psychologists and other social scientists too often emasculate important questions by forcing them into the straitjacket of limited scientific methods.
Opportunity to Participate in RFI on Proposed National Secure Data Service
According to the United Nations Educational, Scientific, and Cultural Organization, scientific collaboration and diplomacy are key when trying to effectively address the […]
Why Social Science? Because It Can Help Contribute to AI That Benefits Society
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.
