Menu

▼

Friday, September 27, 2024

g-f(2)2954 Data Cooperatives: The New Frontier in AI-Driven Labor Relations

 


genioux Fact post by Fernando Machuca and ChatGPT


Introduction


In the Harvard Business Review article, "Data Collectives Are the Next Frontier of Labor Relations," authors José Parra-Moyano and Amit Joshi explore the emerging tensions between employees and companies as artificial intelligence (AI) becomes increasingly integrated into business operations. With AI heavily dependent on vast amounts of high-quality data, much of which is generated by employees, a new frontier in labor relations is emerging. The authors propose data cooperatives as a potential solution for balancing the interests of workers and organizations. These cooperatives allow employees to pool their data, granting them greater bargaining power over how their data is used and monetized. This novel approach has the potential to reshape labor relations in the digital economy, ensuring that both workers and companies benefit from AI's growing impact.



genioux GK Nugget


"Data cooperatives could become the next major evolution in labor relations, empowering employees to control and monetize their data while enabling companies to access high-quality, responsibly sourced data for AI training."  — Fernando Machuca and ChatGPT, September 27, 2024



genioux Foundational Fact


As AI's demand for high-quality data increases, the traditional dynamics between employees and companies are shifting. Employees generate much of the valuable data used to train AI models, leading to potential conflicts over ownership, usage, and compensation. Data cooperatives offer a promising solution by allowing workers to pool and collectively manage their data, enhancing their bargaining power and ensuring fair compensation. This new organizational model could transform labor relations in the digital age, fostering a collaborative and mutually beneficial relationship between employees and companies as AI reshapes industries.



The 10 Most Relevant genioux Facts


  1. AI’s Growing Impact on Labor Relations: As AI becomes more integrated into business, tensions between employees and companies are increasing, particularly over the use of employee-generated data to train AI models.
  2. The Writers Guild Strike as a Flashpoint: The 2023 Writers Guild of America (WGA) strike highlighted the growing concern over AI’s role in creative industries, setting a precedent for how workers might push back against AI-driven changes.
  3. Data as a Critical Factor of Production: AI's reliance on fresh, high-quality data is reshaping the relationship between employees and employers. Workers generate the essential data needed to keep AI models accurate and relevant.
  4. Data Cooperatives as a Solution: Data cooperatives allow employees to pool their data, granting them greater bargaining power over its use, and enabling fair compensation and responsible data practices.
  5. Mutual Benefits for Employers and Employees: Data cooperatives can benefit both employees, by giving them control and compensation over their data, and companies, by providing access to high-quality, updated data for AI training.
  6. The Value of Human Data in AI: AI needs human interaction data—our preferences, decisions, and behaviors—to stay relevant. Without this data, AI models face "model decay" and become less effective over time.
  7. The Role of Data Literacy: For data cooperatives to succeed, both employees and employers must increase their data literacy. Understanding how data creates value is key to leveraging its potential in the digital economy.
  8. Data Cooperatives as a Parallel to Labor Unions: Just as labor unions organized workers to gain collective bargaining power, data cooperatives can provide similar power for employees over the control and use of their data.
  9. The Need for New Employment Contracts: Updating employment contracts to include clauses around data ownership and cooperative participation can establish transparency and protect employee rights in the digital economy.
  10. The Future of Employee-Employer Relations: As AI evolves, the interplay between capital, labor, and data will shape the future of work. Employees will play a fundamental role in keeping AI relevant through their data, creating opportunities for collaborative frameworks between employers and workers.



Conclusion


As AI continues to revolutionize industries, the role of employee-generated data is becoming a critical point of tension between workers and organizations. Data cooperatives offer a forward-thinking solution to address these challenges, empowering employees with control over their data while providing companies with the high-quality data needed for AI training. By fostering a collaborative approach to data governance, both employees and employers can benefit, laying the groundwork for a new era in labor relations. The future of work will depend on how well both parties navigate this evolving landscape, ensuring that AI-driven advancements benefit everyone involved.



REFERENCES

The g-f GK Context


José Parra-Moyano and Amit Joshi, Data Collectives Are the Next Frontier of Labor Relations, Harvard Business Review, September 27, 2024.



ABOUT THE AUTHORS


José Parra-Moyano is a professor of Digital Strategy at the International Institute for Management Development (IMD Business School) in Switzerland. His research focuses on the management and economics of data and privacy, with a special focus on how organizations can use data analysis techniques and AI to increase their competitiveness. He is an award-winning teacher, whose research has been published in top-tier academic journals.


Amit Joshi is a professor of AI, Analytics, and Marketing Strategy at IMD, and specializes in helping organizations use artificial intelligence and develop their big data, analytics, and AI capabilities. An award-winning professor and researcher, he has extensive experience in AI and analytics-driven transformations in industries such as banking, fintech, retail, services, automotive, telecoms, and pharma.



Classical Summary of the Article


In the Harvard Business Review article "Data Collectives Are the Next Frontier of Labor Relations," authors José Parra-Moyano and Amit Joshi examine the evolving relationship between employees and employers in the age of artificial intelligence (AI). As AI becomes more integrated into business processes, particularly generative AI, it increasingly relies on vast amounts of high-quality data, much of which is generated by employees during their daily work activities. This creates new challenges regarding data ownership, usage, and compensation, leading to potential conflicts between workers and companies.


The article highlights the growing importance of data as a critical factor of production, likening it to labor itself. Just as labor unions gave workers collective bargaining power in the past, data cooperatives are emerging as a new model to give employees control over their data. These cooperatives allow workers to pool their data, negotiate its use, and potentially monetize it in ethical and privacy-preserving ways. This approach empowers workers while providing companies with access to valuable, up-to-date data for AI training and decision-making.


The authors also discuss the broader implications for labor relations, drawing on examples such as the 2023 Writers Guild of America strike, which demonstrated the tension between creative workers and AI-driven tools. They propose that data cooperatives could prevent similar conflicts in the future, fostering collaboration between workers and organizations.


Ultimately, the article argues that data cooperatives represent a promising solution for balancing the interests of employees and employers in the AI-driven digital economy, ensuring that workers are fairly compensated for the data they generate while providing businesses with the resources they need to innovate and thrive.



José Parra-Moyano


José Parra-Moyano is a distinguished Professor of Digital Strategy at the International Institute for Management Development (IMD Business School) in Switzerland. His academic and professional journey is marked by a deep focus on the management and economics of data and privacy, and how firms can create sustainable value in the digital economy³.


José holds a Bachelor's degree in Economic Science from the University of Zurich². His research has been published in top-tier academic and practitioner journals, highlighting his contributions to the field of digital strategy⁴. He is also an award-winning teacher, recognized for his innovative approach to education and his ability to inspire students¹.


In addition to his academic achievements, José is an entrepreneur. He founded his own successful startup and has been actively involved in the World Economic Forum’s Global Shapers Community of young leaders¹. His work emphasizes the importance of ethical considerations in the use of digital technologies, particularly in the areas of data privacy and management³.


José Parra-Moyano's contributions to the field of digital strategy and his commitment to ethical practices make him a prominent figure in the digital economy landscape.


¹: [UZH Blockchain Center](https://www.blockchain.uzh.ch/members/jose-parra-moyano/)

²: [Profile - José Parra-Moyano](https://www.parramoyano.com/html/profile.html)

³: [IMD Business School](https://www.imd.org/faculty-profile/jose-parra-moyano/)

⁴: [José Parra-Moyano](https://www.parramoyano.com/)


Source: Conversation with Copilot, 9/27/2024


(1) José Parra Moyano - IMD Business School. https://www.imd.org/faculty-profile/jose-parra-moyano/.

(2) Profile - José Parra-Moyano. https://www.parramoyano.com/html/profile.html.

(3) José Parra-Moyano. https://www.parramoyano.com/.

(4) Prof. Dr. José Parra Moyano - UZH Blockchain Center. https://www.blockchain.uzh.ch/members/jose-parra-moyano/.



Amit Joshi


Amit Joshi is a renowned Professor of AI, Analytics, and Marketing Strategy at the International Institute for Management Development (IMD) in Switzerland. His expertise lies in helping organizations harness the power of artificial intelligence, big data, and analytics to drive strategic growth and innovation⁵.


Amit holds a Ph.D. in Marketing from the University of Southern California and has extensive experience in both academia and industry. Before joining IMD, he held various academic positions and worked with leading global companies, providing strategic insights and solutions⁵.


At IMD, Amit is the Program Director of several key initiatives, including the Digital Strategy, Analytics & AI program, the Generative AI for Business Sprint, and the Business Analytics for Leaders course⁷. His research focuses on the intersection of AI, analytics, and marketing, exploring how these technologies can be leveraged to create value and competitive advantage⁶.


Amit is also a sought-after speaker and consultant, known for his ability to translate complex technical concepts into actionable business strategies. His work has been published in top-tier academic journals, and he is frequently invited to share his insights at international conferences and industry events⁵.


⁵: [IMD Business School](https://www.imd.org/faculty/professors/amit-joshi/)

⁶: [AMLD](https://appliedmldays.org/all-time-speakers/amit-joshi)

⁷: [I by IMD](https://www.imd.org/ibyimd/iauthors/amit-joshi/)


Source: Conversation with Copilot, 9/27/2024


(1) Amit Joshi - IMD business school for management and leadership courses. https://www.imd.org/faculty/professors/amit-joshi/.

(2) Amit M. Joshi - I by IMD - IMD Business School. https://www.imd.org/ibyimd/iauthors/amit-joshi/.

(3) Amit Joshi - AMLD. https://appliedmldays.org/all-time-speakers/amit-joshi.

(4) Amitabh Joshi - Wikipedia. https://en.wikipedia.org/wiki/Amitabh_Joshi.

(5) Amit Joshi, MD, FACS | Cooper Medical School | Rowan University. https://cmsru.rowan.edu/about/leadership-team/amit-joshi.html.

(6) Honoring Excellence: Q and A with Amit R.T. Joshi, MD, FACS - ACGME. https://www.acgme.org/newsroom/blog/2022/honoring-excellence-q-and-a-with-amit-r.t.-joshimd-facs/.

(7) Amit R.T. Joshi, MD, FACS | Cooper University Health Care. https://www2.cooperhealth.org/doctors/amit-joshi-md.



The categorization and citation of the genioux Fact post


Categorization


This genioux Fact post is classified as Bombshell Knowledge which means: The game-changer that reshapes your perspective, leaving you exclaiming, "Wow, I had no idea!"


Type: Bombshell Knowledge, Free Speech



g-f Lighthouse of the Big Picture of the Digital Age [g-f(2)1813, g-f(2)1814]

  • Daily g-f Fishing GK Series
  • Game On! Mastering THE TRANSFORMATION GAME in the Arena of Sports Series


Angel sponsors                  Monthly sponsors



g-f(2)2954: The Juice of Golden Knowledge



GK Juices or Golden Knowledge Elixirs



REFERENCES



“genioux facts”: The online program on "MASTERING THE BIG PICTURE OF THE DIGITAL AGE”, g-f(2)2954, Fernando Machuca and ChatGPT, September 27, 2024, Genioux.com Corporation.


The genioux facts program has established a robust foundation of over 2953 Big Picture of the Digital Age posts [g-f(2)1 - g-f(2)2953].



List of Most Recent genioux Fact Posts


genioux GK Nugget of the Day


"genioux facts" presents daily the list of the most recent "genioux Fact posts" for your self-service. You take the blocks of Golden Knowledge (g-f GK) that suit you to build custom blocks that allow you to achieve your greatness. — Fernando Machuca and Bard (Gemini)


August 2024

  • g-f(2)2851 From Innovation to Implementation: Mastering the Digital Transformation Game
  • g-f(2)2850 g-f GREAT Challenge: Distilling Golden Knowledge from August 2024's "Big Picture of the Digital Age" Posts
  • g-f(2)2849 The Digital Age Decoded: 145 Insights Shaping Our Future
  • g-f(2)2848 145 Facets of the Digital Age: A Month of Transformative Insights
  • g-f(2)2847 Driving Transformation: Essential Facts for Mastering the Digital Era


July 2024


June 2024


May 2024

g-f(2)2393 Unlock Your Greatness: Today's Daily Dose of g-f Golden Knowledge (May 2024)


April 2024

g-f(2)2281 Unlock Your Greatness: Today's Daily Dose of g-f Golden Knowledge (April 2024)


March 2024

g-f(2)2166 Unlock Your Greatness: Today's Daily Dose of g-f Golden Knowledge (March 2024)


February 2024

g-f(2)1938 Unlock Your Greatness: Today's Daily Dose of g-f Golden Knowledge (February 2024)


January 2024

g-f(2)1937 Unlock Your Greatness: Today's Daily Dose of g-f Golden Knowledge (January 2024)


Recent 2023

g-f(2)1936 Unlock Your Greatness: Today's Daily Dose of g-f Golden Knowledge (2023)