Library: NS110: Science in Today's World: Module 7

Module 7 Readings & Viewings

AI or Just Sci-Fi?
Weinstein, M., Orlando, C., Baumgartner, N., & Dillon, J. D. (2019). AI or just sci-fi? Training, 56(5), 18–22.
AI Still Gets Confused About How the World Works
Bergstein, B. (2020). AI still gets confused about how the world works. MIT Technology Review, 123(2), 62–65.
Algorithms and Artificial Intelligence
Marshall, P. (2018, July 6). Algorithms and artificial intelligence. CQ Researcher, 28, 561-584. https://library.cqpress.com/cqresearcher
Be Aware: Will Robots Become Self-Aware? Will They Have Rights? Will They Be in Charge?
Talty, S. (2018). Be aware: Will robots become self-aware? Will they have rights? Will they be in charge? Smithsonian, 49(1), 34–43.
Dealing With Bias in Artificial Intelligence
Smith, C. S. (2020, January 3). Dealing with bias in artificial intelligence. New York Times, 169(58561), B3.
What We Get Wrong About Machines Taking Our Jobs
McCarthy, D. (2021, April 25). What we get wrong about machines taking our jobs. Emerging Tech Brew. https://www.morningbrew.com/emerging-tech/stories/2021/04/25/myth-automation-eliminates-work
Why AI Leads Us to Think Less, Act Impulsively
Dickson, B. (2020). Why AI leads us to think less, act impulsively. PC Magazine, 27–30.

Emerging from AI Utopia
Santow, E. (2020). Emerging from AI utopia. Science, 367(6486), 9.
The Rise of AI
Kumar, S. A. (2019). The rise of AI. Human Capital, 22(8), 14–28.

Artificial Intelligence: Future of Everything with Jason Silva
Singularity University. (2017, August 22). Artificial intelligence: Future of everything with Jason Silva. YouTube. https://www.youtube.com/watch?v=qjvhl3TjLjg
NASA + IBM: The Frontiers of AI
IBM Systems. (2019, August 19). NASA + IBM: The frontiers of AI. YouTube. https://www.youtube.com/watch?v=jloHV3O8zhI
Can We Build a Brain?
PBS. (Producer). (2018). Can we build a brain? (Season 1) [Series episode]. In NOVA: Wonders.
Mutation
Autentic Distribution GmbH. (Producer). (2018). Mutation [Series episode]. In 2077 – 10 Seconds to the Future.
View the following segments: # 2 Mutation, #3 Exponential Change, and #5 Artificial Intelligence.
Artificial Intelligence: Part 1, Broken Down and Explained.
Inside Science. (Producer). (2016). Artificial intelligence: Part 1, broken down and explained [Video].
Artificial Intelligence: Part 2, Friend or Foe?
Inside Science. (Producer). (2016). Artificial intelligence: Part 2, friend or foe? [Video].

The Age of AI
YouTube Originals. (Producer). The age of AI [Video series]. https://www.youtube.com/playlist?list=PLjq6DwYksrzz_fsWIpPcf6V7p2RNAneKc
Note: This is a series with multiple videos. There are ads throughout if you do not have a YouTube subscription, but they are well-produced and relevant.
'Don't Think A Robot Could Do This': Warehouse Workers Aren't Worried For Their Jobs
Selyukh, A. (Host). (2018, January 28). 'Don't think a robot could do this': Warehouse workers aren't worried for their jobs [Radio transcript]. In Morning Edition. NPR. https://www.npr.org/2018/01/25/579160550/don-t-think-a-robot-could-do-this-warehouse-workers-aren-t-worried-for-their-job
The Truth About Killer Robots
HBO. (Producer). (2018). The truth about killer robots [Video].
How We’ll Earn Money in a Future without Jobs
Ford, M. (2017, April). How we’ll earn money in a future without jobs [Video]. TED. https://www.ted.com/talks/martin_ford_how_we_ll_earn_money_in_a_future_without_jobs

M7D1: AI and Ethical Concerns

Choose one of the A.I. sub-topic areas listed in the tabs within this box.
Read the selected resources within that tab.
Think about the pros and cons of A.I. in this area using the linked readings. You can also use the required and optional resources provided in this module.You are also encouraged to do your own research using the Library or Google Scholar
See M7D1 for the discussion board post criteria

Autonomous Warfare
Sharkey, N. (2020). Autonomous warfare. Scientific American, 322(2), 52.
Changing the Way Soldiers Fight and Survive: AI on the Battlefield
Benitz, J. (2020). Changing the way soldiers fight and survive: AI on the battlefield. Army Magazine, 70(2), 34–39.
Developing Readiness to Trust Artificial Intelligence within Warfighting Teams
Brown, M. W. (2020). Developing readiness to trust artificial intelligence within warfighting teams. Military Review, 100(1), 36–44.
A Google Military Project Fuels Internal Dissent
Shane, S., & Wakabayashi, D. (2018, April 5). A Google military project fuels internal dissent. New York Times, 167(57923), A1–A19.

AI Judges and Juries
Kugler, L. (2018). AI judges and juries. Communications of the ACM, 61(12), 19-21.
Automated Threat Detection and the Future of Policing
Davidson, R. (2019). Automated threat detection and the future of policing. FBI Law Enforcement Bulletin, 1–5.
Big Data Surveillance: The Case of Policing
Brayne, S. (2017). Big data surveillance: The case of policing. American Sociological Review, 82(5), 977–1008. https://doi.org/10.1177/0003122417725865
Philosopher’s Corner: What is “Fair”? Algorithms in Criminal Justice
Wykstra, S. (2018). Philosopher’s corner: What is “fair”? Algorithms in criminal justice. Issues in Science & Technology, 34(3), 21–23.
The Use of Artificial Intelligence in Gauging the Risk of Recidivism
Hillman, N. L. (2019). The use of artificial intelligence in gauging the risk of recidivism. Judges’ Journal, 58(1), 36-39.
“Big Brother” Can Watch Us
Power, D. J. (2016). “Big Brother” can watch us. Journal of Decision Systems, 25, 578-588.

Adopting AI in Health Care Will Be Slow and Difficult
Kuan, R. (2019). Adopting AI in health care will be slow and difficult. Harvard Business Review Digital Articles, 2–5.
Artificial Intelligence for Surveillance in Public Health
Thiébaut, R., & Cossin, S. (2019). Artificial intelligence for surveillance in public health. Yearbook of medical informatics, 28(1), 232–234. https://doi.org/10.1055/s-0039-1677939
Artificial Intelligence in Health: New Opportunities, Challenges, and Practical Implications. Findings from the Yearbook 2019 Section on Education and Consumer Health Informatics
Lau, A., & Staccini, P. (2019). Artificial intelligence in health: New opportunities, challenges, and practical implications. Findings from the yearbook 2019 section on education and consumer health informatics Yearbook of medical informatics, 28(1), 174–178. https://doi.org/10.1055/s-0039-1677935
Artificial Intelligence in Health Care: Will the Value Match the Hype?
Emanuel, E. J., & Wachter, R. M. (2019). Artificial intelligence in health care: Will the value match the hype? JAMA, 321(23), 2281–2282. https://doi.org/10.1001/jama.2019.4914
Artificial Intelligence is Analysing Heart Scans in Dozens of Hospitals
Baraniuk, C. (2019). Artificial intelligence is analysing heart scans in dozens of hospitals. New Scientist, 244(3258), 11. https://doi.org/10.1016/s0262-4079(19)32239-0
Beware Explanations from AI in Health Care
Babic, B., Gerke, S., Evgeniou, T., & Cohen, I. G. (2021). Beware explanations from AI in health care. Science, 373(6552), 284–286. https://doi.org/10.1126/science.abg1834
Governing the Safety of Artificial Intelligence in Healthcare
Macrae, C. (2019). Governing the safety of artificial intelligence in healthcare. BMJ Quality & Safety, 28(6), 495–498. https://doi.org/10.1136/bmjqs-2019-009484
The Price of Artificial Intelligence
Coiera E. (2019). The price of artificial intelligence. Yearbook of Medical Informatics, 28(1), 14–15. https://doi.org/10.1055/s-0039-1677892
Rise of Robot Radiologists
Reardon, S. (2020). Rise of robot radiologists. Scientific American, 322(2), S8–S12.

A.I. Masters Another Puzzle. The Trick is Knowing its Limits
Metz, C. (2019, October 16). A.I. masters another puzzle. The trick is knowing its limits. New York Times, 169(58482), B1–B4.
AI or Just Sci-Fi?
Weinstein, M., Orlando, C., Baumgartner, N., & Dillon, J. D. (2019). AI or just sci-fi? Training, 56(5), 18–22.
The Rise of AI
Kumar, S. A. (2019). The rise of AI. Human Capital, 22(8), 14–28.
The Robots are Coming for Phil in Accounting
Roose, K. (2021, March 7). The robots are coming for Phil in accounting. New York Times.
Siri, Did I Ace the Interview?
Aspan, M. (2020). Siri, did I ace the interview? Fortune, 181(2), 86–91.
The Truth About Robots
Lee, K. (2019). The truth About robots. TIME Magazine, 193(4/5), 60–61.
A Warehouse Robot Learns to Sort Out the Tricky Stuff
Satariano, A., & Metz, C. (2020, January 29). A warehouse robot learns to sort out the tricky stuff. New York Times.
Would You Survive a Merger with AI?
Schneider, S. (2019). Would you survive a merger with AI? Nautilus, 28, 90–95.

The Rise of AI
Kumar, S. A. (2019). The rise of AI. Human Capital, 22(8), 14–28.
The Truth About Robots
Lee, K. (2019). The truth About robots. TIME Magazine, 193(4/5), 60–61.
A Warehouse Robot Learns to Sort Out the Tricky Stuff
Satariano, A., & Metz, C. (2020, January 29). A warehouse robot learns to sort out the tricky stuff. New York Times. https://www.nytimes.com/2020/01/29/technology/warehouse-robot.html

Biases in AI Systems
Srinivasan, R., & Chander, A. (2021). Biases in AI systems. Communications of the ACM, 64(8), 44–49.
Get Out of Our Faces
Scientific American's Board of Editors. (2020). Get out of our faces [Opinion piece]. Scientific American, 322(5), 7.
Can the Biases in Facial Recognition Be Fixed; Also, Should They?
Marks, P. (2021). Can the biases in facial recognition be fixed; Also, should they? Communications of the ACM, 64(3), 20–22. https://doi.org/10.1145/3446877
The Pros and Cons of Facial Recognition Technology
Garvie, C., & Wagner, J. P. (2020). The pros and cons of facial recognition technology. Congressional Digest, 99(4), 18–29.
Facing Consequences
Rosenberg, M. (2021). Facing consequences. Sports Illustrated, 132(9), 10–14.
’Have You Thought About ... ’ Talking About Ethical Implications of Research
Bruckman, A. (2020). ’Have you thought about ... ’ Talking about ethical implications of research. Communications of the ACM, 63(9), 38–40.
The Fight to Reclaim AI
Hao, K. (2021). The fight to reclaim AI. MIT Technology Review, 124(4), 48–52.