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	Browse All Reviews > Computing Methodologies (I) > Artificial Intelligence (I.2) > General (I.2.0)     Options: All Media Types Journals Proceedings Div Books Whole Books Other Date Reviewed Title Author Publisher Published Date Descending Ascending     1-10 of 299 Reviews about "General (I.2.0)": Date Reviewed   Responsible AI: best practices for creating trustworthy AI systems Lu Q., Zhu L., Whittle J., Xu X., Pearson, Hoboken ,NJ, 2023. 320 pp.  Type: Book (9780138073923), Reviews: (2 of 2) Responsible AI: best practices for creating trustworthy AI systems is an in-depth book that explores the essential elements of artificial intelligence (AI) systems, emphasizing ethics, transparency, and responsibility. The book is intricate... Apr 4 2024   Exploring the power of ChatGPT: applications, techniques, and implications Sarrion E., Apress, New York, NY, 2023. 215 pp.  Type: Book (1484295285) The enormous power of ChatGPT lies in its ability to generate coherent and contextually relevant responses to user prompts and to engage in conversational interactions. It can understand and generate human-like text in a way that feels natural and... Mar 14 2024   Responsible AI: best practices for creating trustworthy AI systems Lu Q., Zhu L., Whittle J., Xu X., Pearson, Hoboken ,NJ, 2023. 320 pp.  Type: Book (9780138073923), Reviews: (1 of 2) Responsible AI: best practices for creating trustworthy AI systems appears to be a comprehensive guide focused on the principles and practices of developing responsible artificial intelligence (AI) systems. The book seems to address the cri... Mar 13 2024   Trustworthy AI: from principles to practices Li B., Qi P., Liu B., Di S., Liu J., Pei J., Yi J., Zhou B. ACM Computing Surveys 55(9): 1-46, 2023.  Type: Article, Reviews: (2 of 2) As computing technology continues to evolve, artificial intelligence (AI) is playing an increasing role in various aspects of our lives. Although AI dates back many decades--I took an AI subject in my university studies, in 1988--only re... Mar 12 2024   Conversational artificial intelligence in the AEC industry: a review of present status, challenges and opportunities Saka A., Oyedele L., Akanbi L., Ganiyu S., Chan D., Bello S. Advanced Engineering Informatics 552023.  Type: Article Those working in the architecture, engineering, and construction (AEC) domain often get bogged down in day-to-day paperwork and verbally communicated instructions. Natural language processing (NLP)-based artificial intelligence (AI) would certainl... Feb 14 2024    The threshold: leading in the age of AI Chatrath N., Diversion Books, New York, NY, 2023. 304 pp.  Type: Book (9781635768930) Nick Chatrath’s thoughtful book on artificial intelligence (AI) is of vital significance for leaders across all levels, urging managers to align actions to guide AI for humanity’s benefit. Few leaders move beyond machine-like approache... Feb 2 2024   Trustworthy AI: from principles to practices Li B., Qi P., Liu B., Di S., Liu J., Pei J., Yi J., Zhou B. ACM Computing Surveys 55(9): 1-46, 2023.  Type: Article, Reviews: (1 of 2) As systems based on artificial intelligence (AI) have become the backbone of various public services such as transportation, finance, medicine, security, academics, medicine, and entertainment, the reliability and trustworthiness of AI artifacts/p... Jan 30 2024    Imagining AI Cave S., Dihal K., OXFORD UNIVERISTY PRESS, Oxford, UK, 2023. 448 pp.  Type: Book (0192865366) This collection of essays explores how different cultures around the world imagine intelligent machines. It notes that visions of intelligent machines predate modern technology, but the term “artificial intelligence (AI),” coined in 19... Jan 22 2024   Gradient expectations: structure, origins, and synthesis of predictive neural networks Downing K., MIT Press, Cambridge, MA, 2023. 224 pp.  Type: Book (0262545616) A very interesting and well-grounded work, Gradient expectations provides a thorough overview and explanation of the structure and origins of prediction and predictive neural networks.... Nov 6 2023    A future-oriented approach to the selection of artificial intelligence technologies for knowledge platforms Skulimowski A., Köhler T. The Journal of the Association for Information Science and Technology (JASIST) 74905-922, 2023.  Type: Article The idea of taking a future-oriented approach to selecting artificial intelligence (AI) technologies for knowledge platforms is an important one. It recognizes that the field of AI is rapidly evolving, and decisions made today can have a significa... Nov 1 2023       Display 510152550100 per page
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