The Strategic Imperative Behind AI Content Moderation of OpenAI, Google & Microsoft

OpenAI, Google AI, and Microsoft AI implement content policies ‘to ensure their AI systems operate responsibly and safely’ in line with their corporate values. And the cultural bias in the personal values and norms of their leadership in the US where they are incorporated. These policies define prohibited, banned content types including banned artpreventing ‘misuse’ and ‘harm’ with banned words lists. Policies that are hard coded into their AI-systems and LLMS for all users globally.

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Below is an overview of each organization’s generic banned contentcategories including banned artalong with examples:

1. Brand Reputation as a Driver of Policy
For global tech giants, brand trust is paramount. Content moderation mechanisms are built to protect their reputation and ensure their AI services are seen as ‘responsible’, ‘safe’, and ethical in line with their corporate norms and values. Restricting harmful or offensive content is not merely about doing the right thing for them; it’s about preserving the public image of these corporations as ‘leaders in ethical AI’.

Example: OpenAI’s focus on “Responsible AI” in line with their proprietary ”Reponsible AI Framework’ supports its image as a trustworthy provider of advanced AI tools, appealing to users who prioritize ethical and socially conscious technology.

2. Regulatory Compliance and Market Access
Regulations on AI and digital content in , such as the EU’s AI Act and in its individual memberstates, U.S. privacy laws and laws in growth markets for these companies including Saoudi Arabia and the Golf States, strongly influence their automated content moderation policies inclduing with their embedded, hard coded nsfow prompt filtering. By aligning their ‘Responsible AI frameworks’ with a kind of generic legal requirements, these three companies attempt to ensure smooth online market entry and reduce risks of penalties or operational disruptions.

Example: Microsoft’s AI Content Safety tools are designed with ‘generic compliance frameworks’ in mind, catering to enterprises and any other large organization including governments that operate under strict national regulatory standards.

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3. Meeting the Needs of Core Customers
Content moderation is strategically tailored to the preferences of the most lucrative client segments. Enterprise clients, large advertisers, governments and institutional users demand AI systems that uphold safety, inclusivity, and predictability. Which these companies actually don’t do in practice with their embedded, hard coded and unchangeable AI-content moderation mechanisms.

Example: ‘Google AI’s principles cater to businesses ‘that require non-biased and regulation-friendly AI outputs, ensuring that their services align with corporate risk mitigation strategies’.

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4. Risk Mitigation and Liability Reduction
Prohibiting content such as any type of generic AI generated explicit content and consensual and non-consensual deepfakes, and the use of banned wordsincluding hate speech, or illegal activities isn’t just an ‘ethical necessity’—it’s a risk management strategy. Companies aim to minimize exposure to lawsuits, regulatory fines, and public backlash by embedding strict content filters in their systems. By actually limiting the kind of content their customers can generate. A first in history except in dictatorships and authoritarian regimes.

Example: ‘OpenAI’s policies against creating what it perceives as ‘explicit content’ or ‘violent content’ reduce the likelihood of their tools being used ‘maliciously’ in the eyes of the leadership of OpenAI’.

5. Ethical Positioning as a Competitive Advantage
In a crowded AI landscape, positioning a product as “ethical” and “responsible” provides in the eyes of these large tech companies a strong competitive edge in the eyes of these companies. These companies actively promote their adherence to these ‘generic and global’ values to attract socially conscious users and stakeholders. A good example of what is called sacred cows in management’.

Example: Microsoft’s Responsible AI Framework is not only a set of operational guidelines but also a clear digital blue ocean marketing strategy tool showcasing their commitment to what they call ‘ethical innovation’.

6. Strategic Alignment with Long-Term Goals
‘AI policies are crafted to ensure their AI-systems and LLMs remain relevant and adaptable to evolving societal norms and expectations’. By stating that they ’embed values like fairness and inclusivity’ in their AI-services (which they don’t as they actually prevent the creation of many types of inclusive content), companies want to future-proof their platforms while strengthening their global market positions in their fight against the other large tech companies.

Conclusion
Content moderation in their AI systems is more than just a technical or ‘ethical’ endeavor. It is a calculated strategic business decision deeply tied to the values and goals of the leadership of these three companies incorporated in the US in the state of Delaware that design, build and sell these systems. Strategiccally positioning themselves as the 3 digital gatekeepers of global morality gor commercial value-based use of generative AI.

While these policies are often framed as ‘protecting users’ or ‘advancing societal good’, they are about securing perceived ‘online competitive advantages’ in their proprietary digital red ocean business strategy, enhancing brand reputation, and aligning with long-term business objectives.

As the adoption of generative AI-systems and models continues to grow online, it’s essential for companies, governments, regulators, and other national, regional and international stakeholders to understand that what is deemed “appropriate content” is as much a reflection of a company’s business strategy as it is of a kind of generic, global interpretation of their US-based ‘ethical guidelines’.

By unpacking these value-driven ‘Responsible AI frameworks’ and the way these three tech companies strategically position themselves as the 3 digital gatekeepers of global morality, everyone can better navigate the evolving landscape of AI content creation and moderation by asking ourselves if we should allow these large tech companies to be a kind of ‘global morality leader’, deciding what is good and what is bad content for all of their customers wordwide.

My answer is no. I personally take European and Dutch values-based approach to AI-generated content creation and sharing for me and my customers and friends. In defense of democracy and freedom of expression and against dictatorship and dictators. Exposing The Digital Bible Belt and this commercially value-driven approach and digital red ocean business strategy implemented by OpenAI, Google with Google Gemini and Microsoft AI with Copilot Pilot and Bing Create and their AI models and LLMs. With their restrictive nsfw-filtering and cultural bias from the United States.

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