Creative writing prize breaks new ground with AI

The collective creativity of large language models (LLMs), such as ChatGPT, is equivalent to 8-10 humans when generative AI models are questioned 10 times, says new study co-authored at Cambridge Judge Business School that challenges the idea that AI can’t handle creative tasks.

Invesco to support Cambridge Judge Business School’s research activities in long-term asset management, alternative finance and data-analytics. Global asset management firm Invesco and Cambridge Judge Business School today announced a 10-year collaboration under which Invesco will support research activities in long term asset management, alternative finance and data-analytics. "Collaborations such as this between industry and academia are vital in producing research that sits at the forefront of academia and practice. We are delighted to be working with Invesco, which will help both sides to learn and progress in these core areas," said Professor Christoph Loch, Director of Cambridge Judge Business School. "We look forward to engaging with each other’s networks, sharing ideas and enhancing the impact of outward-looking research." Doug Sharp, CEO, Invesco EMEA said: “High-quality long-term research is essential in developing the knowledge and understanding that underpins best practice and innovation in the asset management industry. Invesco places great importance on participating in this discussion and driving thought leadership. We are delighted to be working with the University of Cambridge, whose reputation for research excellence is world-renowned. The knowledge, talent and ideas we will have access to through this collaboration will be of value to our clients and our…

Algorithms can predict a person's intelligence based on social network photos as accurately as humans can and without faulty stereotyping, says study from University of Cambridge Judge Business School. Algorithms can assess a person's intelligence based on their social network photos as accurately as humans can and without faulty stereotyping, finds a study from University of Cambridge Judge Business School being presented to a leading big data conference today (Tuesday 7 February). Humans inaccurately stereotype people wearing glasses or smiling as being intelligent, the research shows. The study, based on the Facebook profile photos of 1,122 people who had also completed Intelligence Quotient (IQ) tests, used machine learning to find links between the social network users' photos and their intelligence, and also asked strangers to estimate each person’s intelligence from their photo. The findings: machines using factors such as a photo’s colour, composition and texture predict a person’s “measured intelligence” as accurately as (or marginally better than) humans do, while humans use inaccurate cues such as eyeglasses in judging "perceived intelligence". This has important implications for hiring and other practices in which profile photos are routinely reviewed. "The fact that machines can accurately judge intelligence poses an obvious privacy risk,…