Fundamentals of AI for managers

LUMC hospital: From AI pilot to Scaled AI

This podcast is for educational purposes. Rahrovani, Rezazadeh, Grootjans. (2025). AI in radiology: Scaling healthcare transformation at LUMC Hospital. Ivey Publishing. https://www.iveypublishing.ca/s/product/ai-in-radiology-scaling-healthcare-transformation-at-lumc-hospital/01tOF000006lwmfYAA  Sources:  * https://www.youtube.com/watch?v=2HMPRXstSvQ * https://www.youtube.com/watch?v=46MYhalt7EU& * https://www.youtube.com/watch?v=N8qPMjwkH88 Music:  * BlueTreeAudio: https://www.youtube.com/watch?v=WdZkHOm3Ug0 * https://www.youtube.com/watch?v=fXJZaffKSrk& [https://www.youtube.com/watch?v=fXJZaffKSrk&]  Ps: GenAI was used for editing and proofreading, helping to refine the content for clarity and coherence.

Traditional vs. Algorithmic Control: Predicting the Future

This podcast is for educational purposes. Hatim A. Rahman, Inside the Invisible Cage: How Algorithms Control Workers (University of California Press, 2024).  Music sources  * "Ashes" by Cold Cinema, Link: https://bit.ly/3VPl3WZ [https://www.youtube.com/redirect?event=video_description&redir_token=QUFFLUhqbW9sOHhldFVNTktram5jSFI2S0xSM3Y2em05UXxBQ3Jtc0ttTkk2aE91a2pfYWZRMEw0aGM2ZnBMNFdyRVc0dURNLVM1V1RXeGhhVEhHOEQxRDByVlNUdFh1ZUx5TlF5dzJwUzVRR0dqNmdrLVJQUnZ0b2h0YlNzRUlXRUxlOV9ZLXd6UkhVZ3JIaUV6X1dySDdoVQ&q=https%3A%2F%2Fbit.ly%2F3VPl3WZ&v=NBW-iRd1R4Q] * https://www.youtube.com/watch?v=nHqe5D4MsCU * https://www.youtube.com/watch?v=uNRx8LnRzss

ML bias: Algorithms in the Courtroom!

This podcast is for educational purposes. Recorded in collaboration with Professor Lauren Cipriano. Some references used:  * Mehrabi, N., et al. (2019). A Survey on Bias and Fairness in Machine Learning. arXiv.Org.  * Suresh, H., & Guttag, J. V. (2021). A Framework for Understanding Sources of Harm throughout the Machine Learning Life Cycle. Equity and Access in Algorithms, Mechanisms, and Optimization, 1–9.  * Northpointe, Inc. (2016). COMPAS risk scales: Demonstrating accuracy equity and predictive parity. https://www.documentcloud.org/documents/2998391-ProPublica-Commentary-Final-070616 [https://www.documentcloud.org/documents/2998391-ProPublica-Commentary-Final-070616] * Angwin, J. et al (2016). Machine bias. ProPublica.  https://www.propublica.org/article/machine-bias-risk-assessments-in-criminal-sentencing [https://www.propublica.org/article/machine-bias-risk-assessments-in-criminal-sentencing] * Larson, et al (2016). How we analyzed the COMPAS recidivism algorithm. ProPublica.  https://www.propublica.org/article/how-we-analyzed-the-compas-recidivism-algorithm [https://www.propublica.org/article/how-we-analyzed-the-compas-recidivism-algorithm] * Casadei, D. (2020). Predicting prison terms and parole. Retrieved from Downtown Publications: https://www.downtownpublications.com/single-post/2020/03/24/predicting-prison-terms-and-parole [https://www.downtownpublications.com/single-post/2020/03/24/predicting-prison-terms-and-parole] * Dressel, J., & Farid, H. (2018). The accuracy, fairness, and limits of predicting recidivism. Science Advances, 4(1), eaao5580.  * Corbett-Davies et al (2016). A computer program used for bail and sentencing decisions was labeled biased against blacks. It’s actually not that clear. The Washington Post. https://www.washingtonpost.com/news/monkey-cage/wp/2016/10/17/can-an-algorithm-be-racist-our-analysis-is-more-cautious-than-propublicas/ [https://www.washingtonpost.com/news/monkey-cage/wp/2016/10/17/can-an-algorithm-be-racist-our-analysis-is-more-cautious-than-propublicas/] * Jackson, E., & Mendoza, C. (2020). Setting the record straight: What the COMPAS Core Risk and Need Assessment is and is not. Harvard Data Science Review.  * Thomas, S. (2023). The fairness fallacy: Northpointe and the COMPAS recidivism prediction algorithm (Unpublished undergraduate thesis). Institute for the Study of Human Rights, Columbia University * Angwin, J., . ProPublica responds to company’s critique of machine bias story. ProPublica. https://www.propublica.org/article/propublica-responds-to-companys-critique-of-machine-bias-story [https://www.propublica.org/article/propublica-responds-to-companys-critique-of-machine-bias-story] * Flores, A. W., et al. (2016). False positives, false negatives, and false analyses: A rejoinder to “Machine Bias: There’s software used across the country to predict future criminals. And it’s biased against blacks.” Federal Probation, 80(2), 38-42. https://www.uscourts.gov/sites/default/files/fed_probation_dec2016.pdf [https://www.uscourts.gov/sites/default/files/fed_probation_dec2016.pdf] * Barry-Jester, A. M., et al.(2015). The new science of sentencing. The Marshall Project.  https://www.themarshallproject.org/2015/08/04/the-new-science-of-sentencing [https://www.themarshallproject.org/2015/08/04/the-new-science-of-sentencing] Music sources * https://www.youtube.com/watch?v=OwEU8dPYCvY [https://www.youtube.com/watch?v=OwEU8dPYCvY] * https://www.youtube.com/watch?v=aUaTCOpbjcg [https://www.youtube.com/watch?v=aUaTCOpbjcg] Ps: GenAI was used for editing and proofreading the script, helping to refine the content for clarity and coherence.

Fundamentals of AI for managers

3rd edition: Sep 2025   This podcast is for educational purposes.  References:  * Suresh, H., & Guttag, J. V. (2021). A Framework for Understanding Sources of Harm throughout the Machine Learning Life Cycle. Equity and Access in Algorithms, Mechanisms, and Optimization, 1–9. https://doi.org/10.1145/3465416.3483305 [https://doi.org/10.1145/3465416.3483305] * Raisch, S., & Krakowski, S. (2021). Artificial Intelligence and Management: The Automation–Augmentation Paradox: Academy of Management Review. Academy of Management Review, 46(1), 192–210. https://doi.org/10.5465/amr.2018.0072 [https://doi.org/10.5465/amr.2018.0072] * Berente, N., Gu, B., Recker, J., & Santhanam, R. (2021). Managing Artificial Intelligence. MIS Quarterly, 45(3), 1433–1450. * https://www.thoughtspot.com/data-trends/ai/what-is-transformer-architecture-chatgpt [https://www.thoughtspot.com/data-trends/ai/what-is-transformer-architecture-chatgpt] * https://aws.amazon.com/what-is/artificial-intelligence/ [https://aws.amazon.com/what-is/artificial-intelligence/] * https://theconversation.com/what-is-machine-learning-76759 [https://theconversation.com/what-is-machine-learning-76759] * https://www.mckinsey.com/featured-insights/mckinsey-explainers/what-is-ai [https://www.mckinsey.com/featured-insights/mckinsey-explainers/what-is-ai] * https://www.mckinsey.com/capabilities/quantumblack/our-insights/an-executives-guide-to-ai [https://www.mckinsey.com/capabilities/quantumblack/our-insights/an-executives-guide-to-ai] * https://www.ibm.com/topics/artificial-intelligence [https://www.ibm.com/topics/artificial-intelligence] * https://www.cnbc.com/2024/02/01/mastercard-launches-gpt-like-ai-model-to-help-banks-detect-fraud.html [https://www.cnbc.com/2024/02/01/mastercard-launches-gpt-like-ai-model-to-help-banks-detect-fraud.html] * https://www.nytimes.com/2021/07/05/business/tesla-autopilot-lawsuits-safety.html [https://www.nytimes.com/2021/07/05/business/tesla-autopilot-lawsuits-safety.html] * https://www.washingtonpost.com/technology/2019/01/25/youtube-is-changing-its-algorithms-stop-recommending-conspiracies/ [https://www.washingtonpost.com/technology/2019/01/25/youtube-is-changing-its-algorithms-stop-recommending-conspiracies/] * https://www.cio.com/article/190888/5-famous-analytics-and-ai-disasters.html [https://www.cio.com/article/190888/5-famous-analytics-and-ai-disasters.html] * https://www.awavenavr.com/chatgpt-jailbreak-prompts/ [https://www.awavenavr.com/chatgpt-jailbreak-prompts/] * https://youtube.com/shorts/WstkiHTzYCA?si=UtZZ_zBnbUALggcR [https://youtube.com/shorts/WstkiHTzYCA?si=UtZZ_zBnbUALggcR] * https://www.youtube.com/watch?v=0kFeyegny4w [https://www.youtube.com/watch?v=0kFeyegny4w] * https://www.youtube.com/watch?v=gyhnHG5N2wE [https://www.youtube.com/watch?v=gyhnHG5N2wE] * https://www.youtube.com/watch?v=20TAkcy3aBY&ab_channel=TheDailyShow Music sources:  * https://www.youtube.com/watch?v=fXJZaffKSrk& [https://www.youtube.com/watch?v=fXJZaffKSrk&] * https://www.youtube.com/watch?v=vYhWsTXOHpc& [https://www.youtube.com/watch?v=vYhWsTXOHpc&ab_channel=Infraction-NoCopyrightMusic]

Difficulties in Managing Creative Talents: The Tale of Violinist Paul Robertson

This podcast is for educational purposes. It is an interview with Professor Robert Austin about Paul Robertson. Sources that contributed to this podcast Robert D. Austin, Shannon O'Donnell (2007), "Paul Robertson and the Medici String Quartet" HBS, 607083,  https://hbsp.harvard.edu/product/607083-PDF-ENG?Ntt=Paul%20Robewrson%20 Music sources * "Ashes" by Cold Cinema, Link: https://bit.ly/3VPl3WZ [https://www.youtube.com/redirect?event=video_description&redir_token=QUFFLUhqbW9sOHhldFVNTktram5jSFI2S0xSM3Y2em05UXxBQ3Jtc0ttTkk2aE91a2pfYWZRMEw0aGM2ZnBMNFdyRVc0dURNLVM1V1RXeGhhVEhHOEQxRDByVlNUdFh1ZUx5TlF5dzJwUzVRR0dqNmdrLVJQUnZ0b2h0YlNzRUlXRUxlOV9ZLXd6UkhVZ3JIaUV6X1dySDdoVQ&q=https%3A%2F%2Fbit.ly%2F3VPl3WZ&v=NBW-iRd1R4Q] * https://www.youtube.com/watch?v=kOYcbod5J0w In this episode, ChatGPT was used for editing and proofreading the script, helping to refine the content for clarity and coherence.