Results 31 to 40 of about 5,396,367 (373)
Towards Generalist Biomedical AI [PDF]
NEJM AI, 2023 Medicine is inherently multimodal, with rich data modalities spanning text, imaging, genomics, and more. Generalist biomedical artificial intelligence (AI) systems that flexibly encode, integrate, and interpret this data at scale can potentially enable ...
Tao Tu +31 more
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The Quarterly Journal of Economics, 2021 Abstract Recent scholarship has suggested that artificial intelligence (AI) technology and autocratic regimes may be mutually reinforcing. We test for a mutually reinforcing relationship in the context of facial-recognition AI in China. To do so, we gather comprehensive data on AI firms and government procurement contracts, as well as on
Beraja, Martin +3 more
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Between Promise and Peril: Observations on Moral Panic, Popular Culture, and Religion
Religion and Social Communication, 2023 The potential of Artificial Intelligence (AI), in its seemingly infinite possibilities and transmutations command the attention of contemporary popular culture, news, and social media.
Lee-Shae Salma Scharnick-Udemans
doaj +1 more source
Art and the science of generative AI [PDF]
Science, 2023 Understanding shifts in creative work will help guide AI’s impact on the media ecosystem The capabilities of a new class of tools, colloquially known as generative artificial intelligence (AI), is a topic of much debate.
Ziv Epstein +13 more
semanticscholar +1 more source
Intelligent Clinical Documentation: Harnessing Generative AI for Patient-Centric Clinical Note Generation [PDF]
International Journal of Innovative Science and Research TechnologyComprehensive clinical documentation is crucial for effective healthcare delivery, yet it poses a significant burden on healthcare professionals, leading to burnout, increased medical errors, and compromised patient safety.
Anjanava Biswas, Wrick Talukdar
semanticscholar +1 more source
Regulating ChatGPT and other Large Generative AI Models [PDF]
Conference on Fairness, Accountability and Transparency, 2023 Large generative AI models (LGAIMs), such as ChatGPT, GPT-4 or Stable Diffusion, are rapidly transforming the way we communicate, illustrate, and create.
P. Hacker, A. Engel, M. Mauer
semanticscholar +1 more source
Little ai, Big AI—Good AI, Bad AI [PDF]
Research-Technology Management, 2019 The real risk with AI isn’t malice but competence. A super intelligent AI will be extremely good at accomplishing its goals, and if those goals aren’t aligned with ours, we’re in real trouble.
openaire +2 more sources
THE IMPACT OF OCR AND MACHINE LEARNING SOFTWARE IN THE PROCESSING OF FINANCIAL-ACCOUNTING DOCUMENTS AND INFORMATION [PDF]
Analele Universităţii Constantin Brâncuşi din Târgu Jiu : Seria Economie, 2023 The digitization of the modern world economy causes changes in the way of doing business. Assuming that there is a further increase in competition in domestic and international markets, most companies explain the new technology that produces ...
STOICA RALUCA ANDREEA +5 more
doaj
Pamukkale Üniversitesi İşletme Araştırmaları Dergisi, 2023 The study analyzes the potential impacts of super AI on traditional auditing and investigative practices, ethical considerations, and the role of auditors and investigators in the face of increasing automation and dependence on AI systems. The study uses
Ahmet Efe
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Explainable AI: A Review of Machine Learning Interpretability Methods
Entropy, 2020 Recent advances in artificial intelligence (AI) have led to its widespread industrial adoption, with machine learning systems demonstrating superhuman performance in a significant number of tasks.
Pantelis Linardatos +2 more
semanticscholar +1 more source