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The ESG Scorecard: A Deep Dive into Generative AI

By: Abir Hbibi | February 26, 2025

The ESG Scorecard: A Deep Dive into Generative AI
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Generative Artificial Intelligence has burst onto the scene, bringing with it significant ESG challenges, particularly around data privacy, labor practices, and corporate governance.

A major issue is the source of AI training data, with lawsuits against OpenAI, Anthropic, and Google DeepMind over alleged copyright violations. Global regulatory bodies are also investigating AI companies for anti-competitive behavior and privacy breaches.

Concerns over transparency in AI and the spread of misinformation continue to grow, with AI models accused of generating false or biased content. Additionally, worries about cybersecurity vulnerabilities, such as data leaks and hacking risks, have further fueled scrutiny. Labor and working conditions also remain a concern in the industry, with reports of low wages and weak protections, while whistleblowers call for better safeguards and highlight governance instability.

 What does the GenAI landscape look like for ESG issues? Read on to find out.

OpenAI: Navigating Copyright Infringement and Regulatory Scrutiny

As a leader in Gen AI, OpenAI has faced increasing scrutiny over ESG issues, particularly copyright infringement. It has been sued by major news outlets, publishers, and music labels for allegedly using copyrighted content without permission to train its AI models. Beyond copyright concerns, OpenAI has been fined for privacy violations and is under regulatory scrutiny, including antitrust investigations in the U.S. and Europe. Data security risks, working conditions for AI data workers, and internal governance challenges—such as whistleblower concerns and executive upheaval—have also drawn criticism.

OpenAI

 Key Controversies:

Anthropic: Balancing Ethical AI Practices with Data Privacy Challenges

Despite lower volumes of ESG controversies, Anthropic still faces scrutiny over data privacy, ethical AI, and corporate governance. The company has been sued for allegedly using copyrighted material in AI training and accused of bypassing anti-scraping rules. Security concerns grew after vulnerabilities in its Claude AI model and a confirmed data leak. Its ethical AI stance has also been questioned over reported military ties. Meanwhile, former employees have called for stronger whistleblower protections, highlighting transparency and accountability concerns.

Anthropic

 Key Controversies:

Microsoft AI: Facing Antitrust and Intellectual Property Controversies

Microsoft's AI controversies have grown into serious legal challenges from 2023 to 2025. The company faces lawsuits over its Copilot chatbot, raising intellectual property concerns. Ongoing antitrust inquiries are examining Microsoft’s AI partnerships, while publishers have filed copyright claims against the company. With investigations by U.S. regulators, the EU, and UK watchdogs, scrutiny has intensified globally. Microsoft’s hiring practices have also come under fire, particularly its recruitment of key talent from AI startups, raising concerns over potential anti-competitive behavior.  

Microsoft AI

 Key Controversies:

DeepSeek: Data Privacy and Ethical Use in AI-Powered Discovery

Although relatively new, DeepSeek has been the center of attention for the past few months. It has been involved in anti-competitive practices scandals over its disruption of OpenAI and issues linked to data privacy and cybersecurity. Countries like Australia, South Korea, France, and India have criticized and, in some instances, banned the AI platform. Additionally, DeepSeek has been questioned about its supply chain and forced labor practices.

DeepSeek

 Key Controversies:

Mistral AI: Open-Source Development and Accountability in AI Systems

Mistral AI, a French AI startup, has been hit with data privacy and cybersecurity controversies, anti-competitive practices, and senior management issues.

Mistral AI

 Key Controversies:

Conclusion

The rise of Gen AI has come with significant ESG challenges. Its major players, like OpenAI, Anthropic, and Microsoft,  face issues such as copyright infringements, privacy violations, labor practices, and environmental impacts. As regulators step up their investigations, these firms will have to focus on transparency, ethical practices, and sustainability or risk additional controversies. 


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