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 […]
The promise of artificial intelligence in accessibility work is often framed in hopeful terms. Large language models (LLMs) like GPT-4 are increasingly […]
Isaac Asimov (1920-1992) left a legacy of influence that many more literary writers might envy. In his own lifetime, he was one […]
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.
In this post, authors Louis Hickman, Josh Liff, Caleb Rottman, and Charles Calderwood outline the inspiration behind their recently published academic paper, […]
Philosophy has been instrumental to AI since its inception, and should still be an important contributor as artificial intelligence evolves..
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.
David Canter is horrified by the power of readily available large language technology.