Literature DB >> 26185241

Artificial intelligence. Fears of an AI pioneer.

Stuart Russell, John Bohannon.   

Abstract

From the enraged robots in the 1920 play R.U.R. to the homicidal computer H.A.L. in 2001: A Space Odyssey, science fiction writers have embraced the dark side of artificial intelligence (AI) ever since the concept entered our collective imagination. Sluggish progress in AI research, especially during the “AI winter” of the 1970s and 1980s, made such worries seem far-fetched. But recent breakthroughs in machine learning and vast improvements in computational power have brought a flood of research funding— and fresh concerns about where AI may lead us. One researcher now speaking up is Stuart Russell, a computer scientist at the University of California, Berkeley, who with Peter Norvig, director of research at Google, wrote the premier AI textbook, Artificial Intelligence: A Modern Approach, now in its third edition. Last year, Russell joined the Centre for the Study of Existential Risk at Cambridge University in the United Kingdom as an AI expert focusing on “risks that could lead to human extinction.” Among his chief concerns, which he aired at an April meeting in Geneva, Switzerland, run by the United Nations, is the danger of putting military drones and weaponry under the full control of AI systems. This interview has been edited for clarity and brevity.

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Year:  2015        PMID: 26185241     DOI: 10.1126/science.349.6245.252

Source DB:  PubMed          Journal:  Science        ISSN: 0036-8075            Impact factor:   47.728


  11 in total

1.  Materials Science in the AI age: high-throughput library generation, machine learning and a pathway from correlations to the underpinning physics.

Authors:  Rama K Vasudevan; Kamal Choudhary; Apurva Mehta; Ryan Smith; Gilad Kusne; Francesca Tavazza; Lukas Vlcek; Maxim Ziatdinov; Sergei V Kalinin; Jason Hattrick-Simpers
Journal:  MRS Commun       Date:  2019       Impact factor: 2.566

2.  Making the right calls in precision oncology.

Authors:  Kathryn D Bungartz; Kristen Lalowski; Sheryl K Elkin
Journal:  Nat Biotechnol       Date:  2018-08-06       Impact factor: 54.908

3.  Artificial intelligence in paediatric radiology: international survey of health care professionals' opinions.

Authors:  Susan C Shelmerdine; Karen Rosendahl; Owen J Arthurs
Journal:  Pediatr Radiol       Date:  2021-10-12

4.  MRI-guided vacuum-assisted breast biopsy: experience of a single tertiary referral cancer centre and prospects for the future.

Authors:  Silvia Penco; Anna Rotili; Filippo Pesapane; Chiara Trentin; Valeria Dominelli; Angela Faggian; Mariagiorgia Farina; Irene Marinucci; Anna Bozzini; Maria Pizzamiglio; Anna Maria Ierardi; Enrico Cassano
Journal:  Med Oncol       Date:  2020-03-27       Impact factor: 3.064

Review 5.  Artificial intelligence as a medical device in radiology: ethical and regulatory issues in Europe and the United States.

Authors:  Filippo Pesapane; Caterina Volonté; Marina Codari; Francesco Sardanelli
Journal:  Insights Imaging       Date:  2018-08-15

Review 6.  Application of machine learning in ophthalmic imaging modalities.

Authors:  Yan Tong; Wei Lu; Yue Yu; Yin Shen
Journal:  Eye Vis (Lond)       Date:  2020-04-16

7.  Feasibility study of in vitro drug sensitivity assay of advanced non-small cell lung adenocarcinomas.

Authors:  Emoke Papp; Anita Steib; Elhusseiny Mm Abdelwahab; Judit Meggyes-Rapp; Laszlo Jakab; Gabor Smuk; Erzsebet Schlegl; Judit Moldvay; Veronika Sárosi; Judit E Pongracz
Journal:  BMJ Open Respir Res       Date:  2020-06

8.  Towards clinical application of image mining: a systematic review on artificial intelligence and radiomics.

Authors:  Martina Sollini; Lidija Antunovic; Arturo Chiti; Margarita Kirienko
Journal:  Eur J Nucl Med Mol Imaging       Date:  2019-06-18       Impact factor: 9.236

Review 9.  Artificial intelligence in medical imaging: threat or opportunity? Radiologists again at the forefront of innovation in medicine.

Authors:  Filippo Pesapane; Marina Codari; Francesco Sardanelli
Journal:  Eur Radiol Exp       Date:  2018-10-24

10.  Tracking developments in artificial intelligence research: constructing and applying a new search strategy.

Authors:  Na Liu; Philip Shapira; Xiaoxu Yue
Journal:  Scientometrics       Date:  2021-02-25       Impact factor: 3.238

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