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Embedding Private Standards in AI and Mitigating Artificial Intelligence Risks

机译：在AI中嵌入私有标准并降低人工智能风险

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来源
《IEEE SmartWorld Conference;IEEE Ubiquitous Intelligence Computing Conference;IEEE Advanced Trusted Computing Conference;IEEE Scalable Computing Communications Conference;Cloud Big Data Computing Conference;IEEE Internet of People Conference;IEEE Smart City Innovation Conference》|2019年|305-310|共6页
会议地点 Leicester(GB)
作者
Martijn Scheltema;
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作者单位

Erasmus University and Pels Rijcken Droogleever Fortuijn the Netherlands;

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会议组织
原文格式 PDF
正文语种
中图分类
关键词
Artificial intelligence; Ethics; Law; Standards; Safety; Guidelines;

机译：人工智能;伦理;法;标准;安全;指导方针;

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1. The Real Risks of Artificial Intelligence Incidents from the early days of AI research are instructive in the current AI environment [J] . Parnas David Lorge Communications of the ACM . 2017,第10期

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2. Improving Clinical Trial Participant Prescreening With Artificial Intelligence (AI): A Comparison of the Results of AI-Assisted vs Standard Methods in 3 Oncology Trials [J] . Calaprice-Whitty Denise, Galil Karim, Salloum Wael, Therapeutic innovation & regulatory science. . 2020,第1期

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3. AI-Seg: An Artificial Intelligence (AI)-Based Automatic Organs at Risk (OAR) Contouring Platform for Head and Neck Cancer (H&N) Radiotherapy [J] . Wu J., Lynch P., Shah J., Medical Physics . 2019,第6期

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4. Embedding Private Standards in AI and Mitigating Artificial Intelligence Risks [C] . Martijn Scheltema IEEE SmartWorld Conference . 2019

机译：在AI中嵌入私人标准并减轻人工智能风险
5. Relationship of Age, Personality Style, Prior Quality and Exposure to Media and AI, Educational Information About AI Therapy and Willingness to Participate in Artificial Intelligence Mediated Treatment [D] . Karkantis, Victoria. 2020

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6. Implications of the artificial intelligence extensions to the guidelines for consolidated standards of reporting trials and for standard protocol item recommendations for interventional trials (the CONSORT-AI and SPIRIT-AI extensions) [O] . Ameenat Lola Solebo, Tasanee Braithwaite 2020

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7. Feasibility of an evolutionary artificial intelligence (AI) scheme for modelling of load settlement response of concrete piles embedded in cohesionless soil [O] . Ameer A. Jebur, William Atherton, Rafid M. Al Khaddar 2018

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