AI Now 2017 Report
AI Now 2017 Report
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AI Now 2017 报告
DOI：
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发表时间：
2017
期刊：
影响因子：
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通讯作者：
K. Crawford
中科院分区：
文献类型：
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作者：
Alexander Campolo;M. Sanfilippo;M. Whittaker;K. Crawford
这些建议反映了纽约大学AI Now研究所的观点和研究。我们感谢为AI Now 2017研讨会和研讨会做出贡献的专家，感谢他们提供这些观点，感谢我们的研究团队帮助制定AI Now 2017报告。人工智能（AI）技术正处于快速发展阶段，并被广泛采用。虽然人工智能的概念已经存在了60多年，但现实世界的应用只是在过去十年中加速发展，这是由于三个并发的发展：更好的算法，网络计算能力的提高以及科技行业捕获和存储大量数据的能力。人工智能系统已经集成到智能手机和个人助理等日常技术中，做出预测和决定，帮助个性化体验和广告产品。除了熟悉的领域，这些系统还被引入法律、金融、警务和工作场所等关键领域，它们越来越多地被用于预测一切，从我们的音乐品味到我们犯罪的可能性，再到我们是否适合工作或教育机会。人工智能公司承诺，他们创造的技术可以自动化重复性工作，识别微妙的行为模式等等。然而，对人工智能的分析和理解不应仅限于其技术能力。下一代计算工具的设计和实现对我们现有的社会、经济和政治关系和制度提出了深刻的规范和伦理挑战，这些变化已经在进行中。简单地说，AI并不存在于真空中。我们还必须问，不平等扩大、地缘政治权力集中和民粹主义政治运动加剧等更广泛的现象将如何塑造人工智能技术的发展和应用。
These recommendations reflect the views and research of the AI Now Institute at New York University. We thank the experts who contributed to the AI Now 2017 Symposium and Workshop for informing these perspectives, and our research team for helping shape the AI Now 2017 Report. Artificial intelligence (AI) technologies are in a phase of rapid development, and are being adopted widely. While the concept of artificial intelligence has existed for over sixty years, real-world applications have only accelerated in the last decade due to three concurrent developments: better algorithms, increases in networked computing power and the tech industry’s ability to capture and store massive amounts of data. AI systems are already integrated in everyday technologies like smartphones and personal assistants, making predictions and determinations that help personalize experiences and advertise products. Beyond the familiar, these systems are also being introduced in critical areas like law, finance, policing and the workplace, where they are increasingly used to predict everything from our taste in music to our likelihood of committing a crime to our fitness for a job or an educational opportunity. AI companies promise that the technologies they create can automate the toil of repetitive work, identify subtle behavioral patterns and much more. However, the analysis and understanding of artificial intelligence should not be limited to its technical capabilities. The design and implementation of this next generation of computational tools presents deep normative and ethical challenges for our existing social, economic and political relationships and institutions, and these changes are already underway. Simply put, AI does not exist in a vacuum. We must also ask how broader phenomena like widening inequality, an intensification of concentrated geopolitical power and populist political movements will shape and be shaped by the development and application of AI technologies.