60 Leaders on AI - References

A Data Driven Company, Richard Benjamins, ISBN: 1912555883
A logical calculus of the ideas immanent in nervous activity. The bulletin of mathematical biophysics, McCulloch, W.S. and Pitts, W., 1943., 5(4), pp.115-133.
A Theory of Justice, Rawls, John: 1971, Belknap Press.
Accelerating materials discovery using artificial intelligence, high performance computing and robotics, Edward O. Pyzer-Knapp, Jed W. Pitera, Peter W. J. Staar, Seiji Takeda, Teodoro Laino, Daniel P. Sanders, James Sexton, John R. Smith & Alessandro Curioni
Advances in neural information processing systems, Brown, T., Mann, B., Ryder, N., Subbiah, M., Kaplan, J.D., Dhariwal, P., Neelakantan, A., Shyam, P., Sastry, G., Askell, A. and Agarwal, S., 2020. Language models are few-shot learners, 33, pp.1877-1901
An image is worth 16x16 words: Transformers for image recognition at scale, Dosovitskiy, A., Beyer, L., Kolesnikov, A., Weissenborn, D., Zhai, X., Unterthiner, T., Dehghani, M., Minderer, M., Heigold, G., Gelly, S. and Uszkoreit, J., 2020. arXiv preprint arXiv:2010.11929.
Architects of Intelligence: The Truth About AI from the People Building It - Amazon.com
Artificial Intelligence Act
Artificial Intelligence and Management: The Automation-Augmentation Paradox, Raisch, S., & Krakowski, S. (2020). Academy of Management Review.
Bert: Pre-training of deep bidirectional transformers for language understanding, Devlin, J., Chang, M.W., Lee, K. and Toutanova, K., 2018. arXiv preprint arXiv:1810.04805.
Bias in AI: What it is, Types, Examples & 6 Ways to Fix it in 2022, Dilgemani, Cem: 2020
Chalfen, Mike, ‘The Challenges Of Building AI Apps’. TechCrunch. Retrieved 27 November 2021
Characteristics of publicly available skin cancer image datasets - The Lancet Digital Health
Code: Perseus Books Group, New York, 2006, v2.0, pp. 200-232
Coeckelbergh, Mark: 2020: AI Ethics. MIT Press
DARPA's Explainable AI (XAI) Program: Applied AI Letters: Vol 2, No 4 (wiley.com)
Deep Learning Driven Drug Discovery: Tackling Severe Acute Respiratory Syndrome Coronavirus 2. Front. Microbiol., 28 October 2021
Deep residual learning for image recognition. In Proceedings of the IEEE conference on computer vision and pattern recognition, He, K., Zhang, X., Ren, S. and Sun, J., 2016. (pp. 770-778).
Differences between germline genomes of monozygotic twins, H. Jonsson et al.
Discriminating algorithms: 5 times AI showed prejudice | New Scientist
Exploring Bayesian networks for automated breast cancer detection, 2009, pp. 153-157
Hip Implant Failure for Men and Women (researchgate.net)
Human intelligence and brain networks, Roberto Colom 1, Sherif Karama, Rex E Jung, Richard J Haier
Man against machine: diagnostic performance of a deep learning convolutional neural network for dermoscopic melanoma recognition in comparison to 58 dermatologists - Annals of Oncology
Millions of black people affected by racial bias in health-care algorithms (nature.com)
Science & Technology Outlook 2021, IBM Research
Sex Differences in Acute Complications of Cardiac Implantable Electronic Devices - ahajournals.org
Surveillance giants. Amnesty International, Naidoo (2019).
The AI first Company, Ash Fontana, ISBN : 0593423089
The Cambridge handbook of artificial intelligence. Frankish, Keith., Ramsey, William M., 1960-. Cambridge
The construction of work in AI. Science, Technology, & Values, Forsythe, D.E. (1993), 18(4), 460-480
When decision support systems fail: Insights for strategic information systems from Formula 1, Aversa, P., Cabantous, L., & Haefliger, S. (2018). The Journal of Strategic Information Systems, 27(3), 221-236
Why Bias in AI is a Problem & Why Business Leaders Should Care, Ebert, Alexandra: 2020
Winning with analytics Accenture, 2015, D. Simchi-Levi, J. Gadewadikar, B. McCarthy and L. LaFiandra
Yolov3: An incremental improvement, Redmon, J. and Farhadi, A., 2018. arXiv preprint arXiv:1804.02767

60 Leaders on AI - References

A Data Driven Company, Richard Benjamins, ISBN: 1912555883

A logical calculus of the ideas immanent in nervous activity. The bulletin of mathematical biophysics, McCulloch, W.S. and Pitts, W., 1943., 5(4), pp.115-133.

A Theory of Justice, Rawls, John: 1971, Belknap Press.

Accelerating materials discovery using artificial intelligence, high performance computing and robotics, Edward O. Pyzer-Knapp, Jed W. Pitera, Peter W. J. Staar, Seiji Takeda, Teodoro Laino, Daniel P. Sanders, James Sexton, John R. Smith & Alessandro Curioni

Advances in neural information processing systems, Brown, T., Mann, B., Ryder, N., Subbiah, M., Kaplan, J.D., Dhariwal, P., Neelakantan, A., Shyam, P., Sastry, G., Askell, A. and Agarwal, S., 2020. Language models are few-shot learners, 33, pp.1877-1901

An image is worth 16x16 words: Transformers for image recognition at scale, Dosovitskiy, A., Beyer, L., Kolesnikov, A., Weissenborn, D., Zhai, X., Unterthiner, T., Dehghani, M., Minderer, M., Heigold, G., Gelly, S. and Uszkoreit, J., 2020. arXiv preprint arXiv:2010.11929.

Artificial Intelligence and Management: The Automation-Augmentation Paradox, Raisch, S., & Krakowski, S. (2020). Academy of Management Review.

Bert: Pre-training of deep bidirectional transformers for language understanding, Devlin, J., Chang, M.W., Lee, K. and Toutanova, K., 2018. arXiv preprint arXiv:1810.04805.

Bias in AI: What it is, Types, Examples & 6 Ways to Fix it in 2022, Dilgemani, Cem: 2020

Chalfen, Mike, ‘The Challenges Of Building AI Apps’. TechCrunch. Retrieved 27 November 2021

Code: Perseus Books Group, New York, 2006, v2.0, pp. 200-232

Coeckelbergh, Mark: 2020: AI Ethics. MIT Press

Deep Learning Driven Drug Discovery: Tackling Severe Acute Respiratory Syndrome Coronavirus 2. Front. Microbiol., 28 October 2021

Deep residual learning for image recognition. In Proceedings of the IEEE conference on computer vision and pattern recognition, He, K., Zhang, X., Ren, S. and Sun, J., 2016. (pp. 770-778).

Differences between germline genomes of monozygotic twins, H. Jonsson et al.

Human intelligence and brain networks, Roberto Colom 1, Sherif Karama, Rex E Jung, Richard J Haier

Surveillance giants. Amnesty International, Naidoo (2019).

The AI first Company, Ash Fontana, ISBN : 0593423089

The Cambridge handbook of artificial intelligence. Frankish, Keith., Ramsey, William M., 1960-. Cambridge

The construction of work in AI. Science, Technology, & Values, Forsythe, D.E. (1993), 18(4), 460-480

When decision support systems fail: Insights for strategic information systems from Formula 1, Aversa, P., Cabantous, L., & Haefliger, S. (2018). The Journal of Strategic Information Systems, 27(3), 221-236

Why Bias in AI is a Problem & Why Business Leaders Should Care, Ebert, Alexandra: 2020

Winning with analytics Accenture, 2015, D. Simchi-Levi, J. Gadewadikar, B. McCarthy and L. LaFiandra

Yolov3: An incremental improvement, Redmon, J. and Farhadi, A., 2018. arXiv preprint arXiv:1804.02767

Columbia Climate School –Artificial Intelligence—A Game Changer for Climate Change and the Environment

Economist: Climate Issue 2019

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