g-f(2)2955 AI and Labor: The Rise of Data Collectives

 

genioux Fact post by Fernando Machuca and Copilot

Introduction

The Harvard Business Review article “Data Collectives Are the Next Frontier of Labor Relations” delves into the evolving dynamics between employees and companies in the age of AI and data. As artificial intelligence becomes more integrated into business operations, the value of high-quality data for training AI systems increases, raising important questions about data ownership, control, and compensation.

genioux GK Nugget

"Data collectives offer a collaborative solution to navigate the complexities of data ownership, control, and compensation in the AI-driven workplace." — Fernando Machuca and Copilot, September 27, 2024

genioux Foundational Fact

As AI becomes more integrated into business, high-quality data for training AI systems becomes increasingly valuable, making data collectives a potential solution for fostering a positive and collaborative relationship between companies and employees, addressing issues of data ownership, control, and compensation.

The 10 Most Relevant genioux Facts

1. AI Integration: AI’s integration into business operations increases the value of high-quality data.
2. Employee Contribution: Employees’ data contributions become a significant part of their overall contribution to the company.
3. Data Ownership: Questions arise about who owns and controls the data generated by employees.
4. Compensation: Companies need to navigate how employees will be compensated for their data contributions.
5. Labor Relations: Data collectives can help address potential conflicts in labor relations related to AI and data.
6. Mutual Benefit: Data collectives have the potential to create mutually beneficial relationships between companies and employees.
7. Collaboration: Building a positive, collaborative relationship around data can prevent future conflicts.
8. Ethical Considerations: Ethical considerations are crucial in managing data ownership and compensation.
9. Sustainable Approach: A thoughtful approach to data management can lead to sustainable business practices.
10. Future Flashpoints: Addressing data-related issues proactively can prevent future flashpoints in labor relations.

Conclusion

The concept of data collectives presents a promising solution to the challenges posed by the increasing value of data in the AI-driven workplace. By fostering collaboration and addressing issues of data ownership, control, and compensation, companies can build positive and sustainable labor relations, ensuring that both employees and organizations benefit from the advancements in AI and data technology.

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:

The article "Data Collectives Are the Next Frontier of Labor Relations" from Harvard Business Review explores the evolving dynamics between employees and companies in the context of AI and data. As AI becomes more integrated into business operations, high-quality data for training AI systems becomes increasingly valuable. This shift raises important questions about how employees will be compensated for their data contributions and who owns and controls that data².

The concept of data collectives is introduced as a potential solution to these challenges. Data collectives can create a mutually beneficial relationship between companies and employees, fostering collaboration and addressing potential conflicts in labor relations. By navigating these issues thoughtfully, companies can build a positive and sustainable approach to managing data in the age of AI².

Source: Conversation with Copilot, 9/27/2024

(1) Data Collectives Are the Next Frontier of Labor Relations. https://hbr.org/2024/09/data-collectives-are-the-next-frontier-of-labor-relations.

(2) Data Collectives Are the Next Frontier of Labor Relations. https://hbr.org/2024/09/data-collectives-are-the-next-frontier-of-labor-relations?ab=HP-topics-image-19.

(3) Harvard Business Review - The Latest. https://hbr.org/the-latest.

(4) Embracing Gen AI at Work - Harvard Business Review. https://hbr.org/2024/09/embracing-gen-ai-at-work?ab=HP-topics-text-10.

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.

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