Difference between revisions of "Articles on AI and ethics/society"
From The Artificial Intelligence and Society discussion group
| Line 12: | Line 12: | ||
* [http://www.mckinsey.com/quarterly/overview/about-the-quarterly McKinsey Quarterly's] report on AI and potential job losses: [http://www.mckinsey.com/business-functions/digital-mckinsey/our-insights/four-fundamentals-of-workplace-automation Four fundamentals of workplace automation] (Nov 2015) | * [http://www.mckinsey.com/quarterly/overview/about-the-quarterly McKinsey Quarterly's] report on AI and potential job losses: [http://www.mckinsey.com/business-functions/digital-mckinsey/our-insights/four-fundamentals-of-workplace-automation Four fundamentals of workplace automation] (Nov 2015) | ||
* The [https://www.weforum.org/about/world-economic-forum World Economic Forum]'s report on AI: [https://www.weforum.org/agenda/2016/01/the-fourth-industrial-revolution-what-it-means-and-how-to-respond The Fourth Industrial Revolution: what it means, how to respond] (Jan 2016) | * The [https://www.weforum.org/about/world-economic-forum World Economic Forum]'s report on AI: [https://www.weforum.org/agenda/2016/01/the-fourth-industrial-revolution-what-it-means-and-how-to-respond The Fourth Industrial Revolution: what it means, how to respond] (Jan 2016) | ||
| − | * Deloitte's [https://www2.deloitte.com/content/dam/Deloitte/uk/Documents/public-sector/deloitte-uk-state-of-the-state-2016-report.pdf State of the State report] for 2016/17 predicts that 861,000 public sector jobs could be lost to automation by 2030 (see | + | * Deloitte's [https://www2.deloitte.com/content/dam/Deloitte/uk/Documents/public-sector/deloitte-uk-state-of-the-state-2016-report.pdf State of the State report] for 2016/17 predicts that 861,000 UK public sector jobs could be lost to automation by 2030 (see pp16-17). (Frey and Osborne contributed to the report.) Here's a [https://www.theguardian.com/society/2016/oct/25/850000-public-sector-jobs-automated-2030-oxford-university-deloitte-study Guardian article about the report]. |
== Academic discussions about the likely impact of AI on jobs == | == Academic discussions about the likely impact of AI on jobs == | ||
Revision as of 16:22, 16 December 2016
Media reports and opinions about future AI
- Nature editorial on AI (April 2016): Anticipating Artificial Intelligence
- Economist report on robots (March 2014): Immigrants from the future
Academic reports about future AI
- Mueller and Bostrom (2016): Future Progress in Artificial Intelligence: A Survey of Expert Opinion.
Business / economic reports about AI
- McKinsey Quarterly's report on AI and potential job losses: Four fundamentals of workplace automation (Nov 2015)
- The World Economic Forum's report on AI: The Fourth Industrial Revolution: what it means, how to respond (Jan 2016)
- Deloitte's State of the State report for 2016/17 predicts that 861,000 UK public sector jobs could be lost to automation by 2030 (see pp16-17). (Frey and Osborne contributed to the report.) Here's a Guardian article about the report.
Academic discussions about the likely impact of AI on jobs
- Frey and Osborne's 2013 paper estimating 47% of US jobs are 'highly automatable': The future of employment: how susceptible are jobs to computerisation?
- Arntz et al.'s 2016 OECD report estimating 9% of OECD jobs are 'automatable': The Risk of Automation for Jobs in OECD Countries: a comparative analysis
- Discussion of Frey and Osborne's paper in the Guardian: The knowledge economy is a myth
- Discussion of Arntz et al.'s paper: robotenomics.com: Robots and job fears: Destruction of large numbers of jobs unlikely, says new OECD Study
- David Autor's (2015) paper arguing against predictions about large-scale technology-driven job losses: Why Are There Still So Many Jobs? The History and Future of Workplace Automation
- John Danaher's (2015) response to Autor: Why haven't robots taken our jobs? The Complementarity Effect.
- Another piece by Danaher (2015), with a discussion of (and support for) Autor's arguments for a 'polarising' effect of technology on jobs: Automation and Income Inequality: Understanding the Polarisation Effect
- Frey and Osborne's 2015 paper on societal/economic impacts of new technologies: Technology at work: The future of automation and employment.
Discussions of the impact on people of AI
- Anne Amnesia's blog post on the Unnecessariat (May 2016)
AI and legal issues
- An article about possible EU legislation to classify advanced robots as 'electronic persons' (June 2016)
NZ initiatives
- A white paper from Chapman Tripp, in association with the NZ Institute of Directors: Artificial Intelligence Opportunities and challenges for New Zealand: A call to action (October 2016)
Recent initiatives relating to the future of AI
- Wired magazine report on Elon Musk's new 'Open AI' company (May 2016): Inside OpenAI, Elon Musk's wild plan to set Artificial Intelligence free
