Shift AI 2020: Trust & AI, considerations for scale | Kieran Towey (KPMG)
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The document summarizes key facts from the 2019 Artificial Intelligence Index annual report. It states that AI research papers have grown over 300% between 1998 and 2018, global private AI investment was over $70 billion in 2019, and the time to train image classifiers has decreased dramatically. It also notes increasing investment in AI startups, exponential growth of AI computing power, and debates around the ethical use of technologies like facial recognition. Concerns are raised about ensuring AI is developed and used responsibly and for benefit of humanity. Trust in AI and governance of it are highlighted as important challenges that remain.
![In pursuit of Accuracy
arXiv:1907.10597v3 [cs.CY] 13 Aug 2019](https://image.slidesharecdn.com/keirantowey-200427144134/85/Shift-AI-2020-Trust-AI-considerations-for-scale-Kieran-Towey-KPMG-13-320.jpg)
Shift AI 2020: Trust & AI, considerations for scale | Kieran Towey (KPMG)
- 2. Source: Artificial Intelligence Index, 2019 annual report The meteoric growth of AI
- 3. A G L O B A L S N A P S H O T Between 1998 - 2018, AI papers have grown > 300% Source: Artificial Intelligence Index, 2019 annual report
- 4. A G L O B A L S N A P S H O T Global private AI investment was over $70B in 2019 Source: Artificial Intelligence Index, 2019 annual report
- 5. A G L O B A L S N A P S H O T The time to train an image classification system on cloud infrastructure reduced from 3 hours to 88 seconds over 18 months Source: Artificial Intelligence Index, 2019 annual report
- 6. A G L O B A L S N A P S H O T Global investment in AI start-ups increased from $1.3B in 2010 to $40.4B in 2018 Source: Artificial Intelligence Index, 2019 annual report
- 7. A G L O B A L S N A P S H O T AI compute has been doubling every 3.4 months since 2012 Source: Artificial Intelligence Index, 2019 annual report
- 8. A G L O B A L S N A P S H O T The most dominant topics in over 3600 news articles: ethical use of AI, data privacy, the use of face recognition, algorithm bias and the role of big tech.
- 9. A G L O B A L S N A P S H O T ‘Fairness’, ‘Interpretability’ and ‘Explainability’ are identified as the biggest ethical challenges
- 10. A G L O B A L S N A P S H O T AI can contribute to each of the 17 UN Sustainable Development Goals but bottlenecks still need to be overcome Source: Artificial Intelligence Index, 2019 annual report
- 11. Source: Artificial Intelligence Index, 2019 annual report But there are concerns
- 12. “Google should not be in the business of war” - Google workers to Sundar Pichai “Those creating powerful technology have to ensure what they build is used for good” - Microsoft workers to Satya Nadella “We refuse to contribute to tools that violate human rights” - Amazon workers to Jeff Bezos “We cannot cede responsibility for the use of the technology we create” - Salesforce workers to Marc Benioff
- 13. In pursuit of Accuracy arXiv:1907.10597v3 [cs.CY] 13 Aug 2019
- 14. DATA NY Times: Mobile phones @ White House Guardian reported that bots were to blame for a quarter of posts perpetuating climate change denial on Twitter in 2017. AI
- 15. “A man is electrocuted and catches to death” Norman sees “A group of birds sitting on top of a tree branch” Standard AI see NORMAN World's first psychopath AI.
- 16. Source: Artificial Intelligence Index, 2019 annual report Bridgin g the trust gap
- 18. The era of self regulation is over. Time to have a sheriff in town. Forrester Research: 45% of business leaders said that trusting AI systems was challenging or very challenging KPMG Research: 70% of business leaders don’t know how to govern AI (Obligatory Star Trek reference) “We will add your technological distinctiveness to our own, you will be assimilated”
- 20. Thank YouThank You © 2020 KPMG, an Irish partnership and a member firm of the KPMG network of independent member firms affiliated with KPMG International Cooperative (“KPMG International”), a Swiss entity. All rights reserved. Printed in Ireland.