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GPT-3 Creative Fiction

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What if I told a story here, how would that story start?" Thus, the summarization prompt: "My second grader asked me what this passage means: …" When a given prompt isn't working and GPT-3 keeps pivoting into other modes of completion, that may mean that one hasn't constrained it enough by imitating a correct output, and one needs to go further; writing the first few words or sentence of the target output may be necessary.


Stephen Hawking Bridged Science and Popular Culture

WSJ.com: WSJD - Technology

The University of Cambridge professor was an iconic figure in both the scientific community and in popular culture, known for his keen mind and humor, as well as his striking physical challenges. Dr. Hawking had long battled with amyotrophic lateral sclerosis, which left him wheelchair-bound for most of his life. Commonly known as Lou Gehrig's disease or motor neuron disease, the condition damages the nerves that control movement and results in paralysis. Patients with ALS typically die within five years of diagnosis. Dr. Hawking, who was diagnosed in 1963 at the age of 21, is believed to have been the longest-living survivor, a fact that still perplexes neurologists.


Assessing the impact of machine intelligence on human behaviour: an interdisciplinary endeavour

arXiv.org Artificial Intelligence

This document contains the outcome of the first Human behaviour and machine intelligence (HUMAINT) workshop that took place 5-6 March 2018 in Barcelona, Spain. The workshop was organized in the context of a new research programme at the Centre for Advanced Studies, Joint Research Centre of the European Commission, which focuses on studying the potential impact of artificial intelligence on human behaviour. The workshop gathered an interdisciplinary group of experts to establish the state of the art research in the field and a list of future research challenges to be addressed on the topic of human and machine intelligence, algorithm's potential impact on human cognitive capabilities and decision making, and evaluation and regulation needs. The document is made of short position statements and identification of challenges provided by each expert, and incorporates the result of the discussions carried out during the workshop. In the conclusion section, we provide a list of emerging research topics and strategies to be addressed in the near future.



IEEE EU-DIITA Workshop on Identity, Inclusion and Agency

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Dr. Ansgar Koene Dr. Ansgar Koene is Global AI Ethics and Regulatory Leader at EY where he supports the AI Lab's Policy activities on Trusted AI. He is also a Senior Research Fellow at the RCUK funded Horizon Digital Economy Research institute (University of Nottingham) where he contributes to the policy impact activities of the institute and leads the policy related stakeholder engagement activities of the ReEnTrust project. As part of this work Ansgar has provided evidence to twelve UK parliamentary inquiries, co-authored a report on Bias in Algorithmic Decision-Making for the Centre for Data Ethics and Innovation, and was lead author of a Science Technology Options Assessment report on a Governance Framework for Algorithmic Accountability and Transparency for the European Parliament. Ansgar chairs the IEEE P7003 Standard for Algorithmic Bias Considerations working group, is the Bias Focus Group leader for the IEEE Ethics Certification Program for Autonomous and Intelligent Systems (ECPAIS), and a trustee for the 5Rgiths foundation for the Rights of Young People Online. Ansgar has a multi-disciplinary research background, having worked and published on topics ranging from Policy and Governance of Algorithmic Systems (AI), data-privacy, AI Ethics, AI Standards, bio-inspired Robotics, AI and Computational Neuroscience to experimental Human Behaviour/Perception studies.