The next Turing tests: Reimagining conceptions and measures of AI.
New approaches to evaluating progress of AI should be built around diversity, partnership, and systemicity.
AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
2 papers indexed here
We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.
Not the right person? Other researchers publish under this name.
New approaches to evaluating progress of AI should be built around diversity, partnership, and systemicity.
Interest in developing personalised language models is rapidly growing. While personalisation is often viewed as a mechanism to better serve diverse user needs, the effects of sustained interactions with personalised models on people's perception of and behaviour toward AI remain poorly understood. Most critically, dow...
We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.