abrupt future. navigating the digital, distributed & disruptive workplace Benoit Hardy-Vallée

Sebastian Krakowski is an Assistant Professor at the Stockholm School of Economics (House of Innovation) and a Digital Fellow at the Stanford Digital Economy Lab.

In this enlightening discussion between Benoit Hardy-Vallee and Sebastian Krakowski, the conversation delves into the role of AI in addressing information overload and flawed reasoning. Krakowski shares insights from his research on how AI thrives in data-rich environments with repetitive tasks. Furthermore, the dialogue considers the ethical implications of AI. Krakowski emphasizes that no AI or data is truly unbiased, and calls for a careful evaluation of goal setting, an often overlooked yet vital aspect of deploying AI systems. He advocates for explicit discussions within organizations to determine the optimal application of AI, taking into account different goals and values.

https://www.hhs.se/en/persons/k/krakowski-sebastian/
https://www.linkedin.com/in/sebastiankrakowski/ 
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In our latest episode, we had a fascinating conversation with JR Keller, an Associate Professor of Human Resource Studies at Cornell University's School of Industrial & Labor Relations (ILR). Our chat revolved around the importance of having the right people in the right positions at the right time within organizations.
Traditionally, companies have relied on their internal labor markets to fill positions, but lately, there has been a shift towards recruiting external talent. However, with the pandemic, organizations have come to realize that they must provide their current employees with opportunities for growth and advancement to keep them satisfied.
To identify the employees best suited for key strategic positions that require specialized skills, organizations must cultivate and nurture their existing workforce. There are two primary approaches to facilitating internal movement: the slotting process and the posting process. Both processes promote a competitive environment where employees can negotiate and promote a free flow of talent.
Managers who actively listen to their employees' concerns and foster internal mobility are more likely to attract and retain top-notch staff. Our conversation with JR Keller shed light on how companies can successfully manage their internal talent and secure their position in the competitive job market.


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In this episode of Abrupt Future, Benoit interviews Dr. Hayden J. R. Woodley, an Assistant Professor of Organizational Behaviour at Western University's Ivey Business School. Dr. Woodley highlights the importance of understanding the distinction between a group and a team in the workplace and advocates for independent brainstorming before collaboration. He explores the challenges of maintaining team confidence and shares insights on how leaders can conserve this valuable resource. Benoit and Dr. Woodley discuss the impact of leadership styles on team cohesion and performance, emphasizing the interconnectedness of human resource management and organizational behavior. The episode concludes with a call to action for individuals to contribute to contextual performance and help colleagues improve for the benefit of the organization.


Hayden's page at Western UniversityHayden's LinkedIn page

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Join us on this episode as we dive into the complex world of algorithmic fairness in HR with Manish Raghavan, Assistant Professor of Information Technology at the MIT Sloan School of Management. Discover the challenges and opportunities of using algorithms to make decisions about people, and learn about the importance of preventing algorithms from replicating discriminatory and unfair human decision-making. Get insights into the distinction between procedural fairness and outcome fairness, and understand why the deployment environment of a machine learning model is just as crucial as the technology itself. Gain a deeper understanding of the scoring mechanism behind algorithmic tools, and the potential dangers and consequences of their use. Learn how common signals in assessments can result in similar assessments across organizations and what it takes to achieve fairness in algorithmic decision-making in HR.

Manish page at MIT
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Alex Tamkin, a PhD student at Stanford University  and generative AI specialist, discusses the new era of pre-trained foundation models in AI. Unlike traditional machine learning models trained for specific tasks, these models such as ChatGPT are exposed to a wider range of knowledge from text, images, antibodies, or DNA sequences. This allows for higher interactivity and the ability to generate outputs, not just single judgments.

learn more about Alex's research: https://www.alextamkin.com/ 
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Professor Ann Majchrzak of the USC Marshall School of Business stresses the importance of innovation in addressing difficult societal challenges and the role of diverse perspectives in finding new solutions. She emphasizes the need for a radical rethinking of innovation and the inclusion of multiple viewpoints to solve complex problems. Majchrzak points out the value of building on the knowledge of others and considering trade-offs to find breakthrough solutions. She also emphasizes the importance of focus, diversity, and open-mindedness in fostering creativity and the use of a time constraint. Majchrzak believes that a culture of creativity and diversity is crucial for driving innovation and finding new solutions to important problems.


Pr. Majchrzak page:   https://www.marshall.usc.edu/personnel/ann-majchrzak  More content at abruptfuture.com Connect with Benoit on LinkedIn Follow our page on LinkedIn here