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the book is not a handbook of machine learning practice. Instead, my goal is to give the reader su cient preparation to make the extensive literature on machine learning accessible. Students in my Stanford courses on machine learning have already made several useful suggestions, as have my colleague, Pat Langley, and my teaching
- 1MB
- 188
- STUDY PANEL
- EXECUTIVE SUMMARY
- OVERVIEW
- SECTION I: WHAT IS ARTIFICIAL INTELLIGENCE?
- DEFINING AI
- AI RESEARCH TRENDS
- HEALTHCARE
- LOW-RESOURCE COMMUNITIES
- ENTERTAINMENT
- SECTION III: PROSPECTS AND RECOMMENDATIONS FOR AI PUBLIC POLICY
- AI POLICY, NOW AND IN THE FUTURE
- Policy and legal considerations
Peter Stone, University of Texas at Austin, Chair Rodney Brooks, Rethink Robotics Erik Brynjolfsson, Massachussets Institute of Technology Ryan Calo, University of Washington Oren Etzioni, Allen Institute for AI Greg Hager, Johns Hopkins University Julia Hirschberg, Columbia University Shivaram Kalyanakrishnan, Indian Institute of Technology Bombay...
Artificial Intelligence (AI) is a science and a set of computational technologies that are inspired by—but typically operate quite diferently from—the ways people use their nervous systems and bodies to sense, learn, reason, and take action. While the rate of progress in AI has been patchy and unpredictable, there have been significant advances sin...
The frightening, futurist portrayals of Artificial Intelligence that dominate films and novels, and shape the popular imagination, are fictional. In reality, AI is already changing our daily lives, almost entirely in ways that improve human health, safety, and productivity. Unlike in the movies, there is no race of superhuman robots on the horizon ...
This section describes how researchers and practitioners define “Artificial Intelligence,” and the areas of AI research and application that are currently thriving. It profers definitions of what AI is and is not, and describes some of the currently “hot” areas of AI Research. This section lays the groundwork for Section II, which elaborates on AI’...
Curiously, the lack of a precise, universally accepted definition of AI probably has helped the field to grow, blossom, and advance at an ever-accelerating pace. Practitioners, researchers, and developers of AI are instead guided by a rough sense of direction and an imperative to “get on with it.” Still, a definition remains important and Nils J. N...
Until the turn of the millennium, AI’s appeal lay largely in its promise to deliver, but in the last fifteen years, much of that promise has been redeemed.15 AI technologies already pervade our lives. As they becomes a central force in society, the field is shifting from simply building systems that are intelligent to building intelligent systems t...
For AI technologies, healthcare has long been viewed as a promising domain. AI-based applications could improve health outcomes and quality of life for millions of people in the coming years—but only if they gain the trust of doctors, nurses, and patients, and if policy, regulatory, and commercial obstacles are removed. Prime applications includ...
Many opportunities exist for AI to improve conditions for people in low-resource communities in a typical North American city—and, indeed, in some cases it already has. Understanding these direct AI contributions may also inform potential contributions in the poorest parts of the developing world. There has not been a significant focus on these pop...
With the explosive growth of the internet over the past fifteen years, few can imagine their daily lives without it. Powered by AI, the internet has established user-generated content as a viable source of information and entertainment. Social networks such as Facebook are now pervasive, and they function as personalized channels of social interact...
The goal of AI applications must be to create value for society. Our policy recommendations flow from this goal, and, while this report is focused on a typical North American city in 2030, the recommendations are broadly applicable to other places over time. Strategies that enhance our ability to interpret AI systems and participate in their use ma...
Throughout history, humans have both shaped and adapted to new technologies. This report anticipates that advances in AI technologies will be developed and fielded gradually—not in sudden, unexpected jumps in the techniques themselves—and will build on what exists today, making this adaptation easier. On the other hand, small improvements to tech...
While a comprehensive examination of the ways artificial intelligence (AI) interacts with the law is beyond the scope of this inaugural report, this much seems clear: as a transformative technology, AI has the potential to challenge any number of legal assumptions in the short, medium, and long term. Precisely how law and policy will adapt to adva...
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and unabashedly.KIM CARAMELE, EMMY- WINNING WRITER AND PRODUCERDr. Tracy Alloway’s new book, Think Like a Girl, is a briskly written and engaging account of how women can leverage their unique com-pete. to: Zondervan, 3900 Sparks Dr. SE, Grand Rapids, Michigan 49546Zondervan titles may be purchased in bulk.
What is machine learning? Machine learning is a form of artificial intelligence based on algorithms that are trained on data. These algorithms can detect patterns and learn how to make predictions and recommendations by processing data and experiences, rather than by receiving explicit programming instruction. The
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Stef Smith's play Girl in the Machine is a dystopian drama exploring our potential digital future, and what it might mean for 'life' as we know it. The play was first performed at the Traverse Theatre, Edinburgh, on 5 April 2017. The play is set 'not too far into the future', in a
