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 (TbC): 

• https://mubert.com

Ps: GenAI was used for editing and proofreading, helping to refine the content for clarity and coherence.

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/watch?v=nHqe5D4MsCU
• https://www.youtube.com/watch?v=uNRx8LnRzss

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​
• Angwin, J. et al (2016). Machine bias. ProPublica.  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
• 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
• 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/
• 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​
• 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​
• 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

Music sources

• https://www.youtube.com/watch?v=OwEU8dPYCvY
• 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.

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
• 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
• 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://aws.amazon.com/what-is/artificial-intelligence/
• https://theconversation.com/what-is-machine-learning-76759
• 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.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.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.cio.com/article/190888/5-famous-analytics-and-ai-disasters.html
• https://www.awavenavr.com/chatgpt-jailbreak-prompts/
• https://youtube.com/shorts/WstkiHTzYCA?si=UtZZ_zBnbUALggcR
• https://www.youtube.com/watch?v=0kFeyegny4w
• https://www.youtube.com/watch?v=gyhnHG5N2wE

Music sources: 

• https://www.youtube.com/watch?v=c56t7upa8Bk
• https://www.youtube.com/watch?v=uNRx8LnRzss
• https://www.youtube.com/watch?v=J87-KfmgAtw
• https://www.youtube.com/watch?v=Rce8QnuFRVk
• Everest, Music from InAudio: https://inaudio.org/track/everest-epic/

Ps: ChatGPT was used for editing and proofreading the script, helping to refine the content for clarity and coherence.

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/watch?v=kOYcbod5J0w

In this episode, ChatGPT was used for editing and proofreading the script, helping to refine the content for clarity and coherence.

This podcast is for educational purposes.
It is an interview with Professor Robert Austin about balancing artistic vs. economic logic in e-Types 

Sources that contributed to this podcast
Robert D. Austin (2006), "e-Types A/S." HBS, 606118,  https://hbsp.harvard.edu/product/606118-PDF-ENG

Music sources
Music from InAudio: https://inaudio.org/track/everest-epic/
Everest

Music from HYSICS, "Tarantula"
https://www.epidemicsound.com/track/8vnBICk9vN/

This podcast is for educational purposes.
It is an interview with Professor Robert Austin about the innovation process in Bang and Olufsen. 

Sources that contributed to this podcast
Daniela Beyersdorfer and Robert D. Austin (2006), "Bang & Olufsen: Design Driven Innovation." HBS, 607016,  https://store.hbr.org/product/bang-olufsen-design-driven-innovation/607016

Music sources
Music from InAudio: https://inaudio.org/track/everest-epic/
Everest

Music from InAudio: https://inaudio.org/track/searching-pop/
Searching

This podcast is for educational purposes. It will be used before my class on "Approaches to innovation."


Sources that contributed to this podcast 

• https://www.newyorker.com/magazine/2001/03/05/the-trouble-with-fries
• https://jamesskiphansen.wordpress.com/2019/04/03/mcdonalds-french-fries-1966-style/
• https://abcnews.go.com/Lifestyle/mcdonalds-reveals-beloved-fries-made/story?id=28382592
• https://www.nytimes.com/2017/10/02/style/kitchen-renovation-design.html
• https://vipp.com/en-us/story/marie-moma-us
• https://lesdeux.de/blogs/lifestyle/extraordinary-design-never-goes-out-of-fashion-explore-the-vipp-shelter
• https://thebrandhopper.com/2023/08/27/exploring-the-swatch-groups-marketing-strategies-mix-4ps/#:~:text=The%20Swatch%20Group's%20goal%20was,affordable%2C%20and%20Swiss%2Dmade.&text=The%20Swatch%20brand%20was%20launched,a%20younger%20generation%20of%20consumers.
• https://www.mbaskool.com/marketing-mix/products/17660-swatch.html
• Moon Y. (2004). The Birth of The Swatch. 9-504-096. https://hbsp.harvard.edu/cases/
• Austin R. & Beyersdorfer D. (2004). Vipp A/S. 9-607-052. https://hbsp.harvard.edu/cases/
• Upton D. (2005). McDonald's Corporation. HBS No . 9-603-041. https://hbsp.harvard.edu/cases/

Music sources

• https://www.epidemicsound.com/track/QdtLQHp7tP/
• https://www.epidemicsound.com/track/8vnBICk9vN/
• https://www.youtube.com/watch?v=jjr3oYJ5wVo
• https://www.youtube.com/watch?v=y4-HPhPYyMM
• https://www.youtube.com/watch?v=urPoCm28XHw

In this episode, ChatGPT was used for editing and proofreading the script, helping to refine the content for clarity and coherence.

This podcast is for educational purposes. It will be used before my class on "Diffusion of innovation."

Sources that contributed to this podcast: 

• “Concorde—A Supersonic Story (BBC Documentary),” YouTube video, 58:59, posted by “Concorde SST,” May 30 2019, accessed January 8 2020, https://youtu.be/1OIrV7ztsK0.
• “How the Crash of Flight 4590 Destroyed Concorde’s Mystique,” YouTube video, 4:02, posted by “Smithsonian Channel,” January 20 2017, accessed August 29, 2020, https://youtu.be/4zeDsSJmcpM.
• Dan Reed, ,”The collapse of Aerion Supersonic shows that Aviation advances must be as affordable as they are amazing” Forbes Aerospace & Defensel, June  2, 2021, accessed April 15, 2021, https://www.forbes.com/sites/danielreed/2021/06/02/the-collapse-of-aerion-supersonic-shows-that-aviation-advances-must-be-as-affordable-as-they-are-amazing/.
• Rahrovani Y. & Noronha R. (2021). Concorde 2.0: Diffusion of Supersonic Innovation. Ivey ID:9B21M002. https://www.iveycases.com/

Music sources

• https://www.epidemicsound.com/track/QdtLQHp7tP/
• https://www.epidemicsound.com/track/8vnBICk9vN/
• https://www.youtube.com/watch?v=jjr3oYJ5wVo
• https://www.youtube.com/watch?v=y4-HPhPYyMM
• https://www.youtube.com/watch?v=urPoCm28XHw

In this episode, ChatGPT was used for editing and proofreading the script, helping to refine the content for clarity and coherence.