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HBO and The Ringer's Bill Simmons hosts the most downloaded sports podcast of all time, with a rotating crew of celebrities, athletes, and media staples, as well as mainstays like Cousin Sal, Joe House, and a slew of other friends and family members who always happen to be suspiciously available.
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Dive into the future of AI! In this episode of AI Innovations Unleashed, we explore how AI is transforming the workplace and why focusing on the next 5 years is key to staying ahead.
References, Additional Resources, and Readings
Books
- O’Neil, C. (2016). Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy. Crown Publishing Group.
- This book discusses how algorithms and AI can perpetuate bias and inequality, making the case for ethical AI and responsible data use.
- Brynjolfsson, E., & McAfee, A. (2014). The Second Machine Age: Work, Progress, and Prosperity in a Time of Brilliant Technologies. W.W. Norton & Company.
- A detailed look at how technology, particularly AI, is transforming work and the economy. The authors discuss the challenges and opportunities AI presents in reshaping industries and society.
- West, D. M. (2018). The Ethics of Artificial Intelligence. Brookings Institution Press.
- West offers an overview of the ethical dilemmas posed by AI, including bias, privacy, and accountability, and provides suggestions for addressing these issues.
- Harari, Y. N. (2018). 21 Lessons for the 21st Century. Spiegel & Grau.
- A broad exploration of the societal changes brought about by AI, focusing on how technology, including AI, is reshaping politics, economics, and our daily lives.
Research Articles & Journals
- O'Neil, C. (2017). "How to fight the dangerous rise of AI." The Guardian.
- This article provides a critical look at the potential dangers of AI and the importance of keeping AI systems transparent and accountable.
- Brynjolfsson, E., & McAfee, A. (2024). "The impact of artificial intelligence on the workforce." MIT Sloan Management Review.
- A comprehensive report on the evolving relationship between AI and work, highlighting which jobs are being augmented and which are being replaced.
- Raji, I. D., & Buolamwini, J. (2019). "Actionable Auditing: Investigating the Impact of Publicly Naming Biased Performance Results of Commercial AI Products." Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems.
- This research paper highlights the role of bias in AI technologies and the need for fairness auditing to prevent racial bias in AI products like facial recognition.
- Dastin, J. (2018). "Amazon Scraps Secret AI Recruiting Tool That Showed Bias Against Women." Reuters.
- A real-world example of AI bias in recruitment tools and its repercussions for organizations that do not consider the ethical ramifications of deploying AI systems.
- Vaswani, A., Shazeer, N., Parmar, N., Uszkoreit, J., Jones, L., Gomez, A. A., Kaiser, Ł., & Polosukhin, I. (2017). "Attention is All You Need." Proceedings of Neural Information Processing Systems (NeurIPS).
- The seminal paper introducing the Transformer model, which has since become foundational to many modern AI systems like GPT-3 and other natural language processing technologies.
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