Speed Over Safety: How AI Ethics is Becoming a PR Exercise for Big Tech

Key Takeaways

Pull back the curtain on Big Tech's AI ethics debate: Our deep dive exposes the dissonance between public rhetoric and internal actions, revealing a landscape fraught with challenges and missed opportunities for responsible AI governance.

The topic of artificial intelligence (AI) dominated the keynotes at tech conferences around the world this year. Executives from Silicon Valley’s leading companies have consistently promoted the transformative potential of AI in a transparent bid to solidify its role in the overarching narrative.


AI has been framed as everything from a co-pilot to a force for good that will democratize access to information, improve healthcare, and even solve climate change. Many leaders stand accused of perpetuating the myth that AI will not replace human jobs, all while proclaiming that ethical considerations are central to their AI initiatives.

But if you dare to look behind the curtain, these grandiose statements might be more of a smokescreen than a reality, highlighting a significant disconnect between rhetoric and action.


Key Takeaways

  • Big Tech’s public advocacy for ethical AI contradicts its internal actions like layoffs and project cancellations, leading to questions about its integrity and the need for a genuine ethical framework.
  • Microsoft’s termination of its AI Ethics & Society team, despite promoting responsible AI principles, may seem to be about prioritizing speed-to-market over ethical safeguards.
  • The UK government has disbanded its AI ethics advisory board, signaling a shift towards addressing existential AI risks and a more inclusive approach to AI ethics, though this has raised trust issues within the tech community.
  • “The commitment to responsible AI appears increasingly cosmetic when companies or governments dismantle specialized ethics teams under the guise of broader restructuring.”

Mismatch Between Rhetoric and Action

Earlier this year, the Financial Times reported a troubling inconsistency between the public commitments of major tech companies and their actual operational decisions, especially concerning ethical AI. For example, Meta, Google, Amazon, and Twitter have all vigorously advocated for ethical AI’s importance, even though they have curtailed their dedicated AI ethics teams.

This downsizing is not occurring in isolation; it aligns with a critical juncture where AI technologies are becoming deeply woven into consumer life, just as potential misuses surface.

As Microsoft continues to aggressively push the boundaries in AI, most recently with the roll-out of its ChatGPT-based ‘Copilot’ for Microsoft 365 and Teams, its ethical commitment to AI is increasingly being questioned. The termination of around 10,000 employees, including the AI Ethics & Society team, has raised more than a few eyebrows. This massive reduction seems paradoxical given the company’s stated focus on responsible AI, which includes principles like accountability and inclusiveness. 


The timing is incredibly delicate, aligning with major AI product launches and an industry-wide introspection on the ethical deployment of these technologies. While Microsoft’s Office of Responsible AI continues to operate, the dissolution of a specialized ethics team risks creating a vacuum in ethical oversight when the stakes are extraordinarily high. The strategic decision to let go of technical human capital dedicated to ethical considerations suggests a concerning prioritization that may favor speed-to-market and technological prowess over comprehensive ethical safeguards.

In a stroke of irony, Elon Musk questioned these actions even as he disbanded his AI ethics team at X. This shift indicates that, for all their rhetoric, these companies view ethical considerations as negotiable, even though they claim to be doubling on responsible AI.

The disbanding of these teams can tilt the balance from ethical considerations toward advertising imperatives, with potentially severe societal repercussions. These actions could stymie growing calls for transparency and accountability as it becomes increasingly clear that leaving responsible AI practices on the back burner could set the stage for unintended harmful consequences, including spreading disinformation and risks to vulnerable communities.

Rethinking AI Governance: The UK’s Disbandment of its Ethics Advisory Board

The UK government also recently disbanded its advisory board on AI ethics. This board was part of the Centre for Data Ethics and Innovation (CDEI). It focused on how AI impacts sectors like welfare and law enforcement. Now, the government is shifting focus. They’re more concerned with more prominent, existential risks tied to advanced AI. 

A new group, the Frontier AI Taskforce, will lead this effort. Headed by venture capitalist Ian Hogarth, the task force aims to position the UK as a leader in addressing significant AI risks, and the UK government says it will now consult a broader range of experts. This could make their approach to AI ethics more adaptable and inclusive. Yet, the abrupt end of the CDEI board raises issues. It puts previous work and expertise at risk and has shaken trust in the tech community. 

Despite the recent news of the disbandment of its ethics advisory board, The UK will ironically host the world’s first global AI safety summit on November 1-2, aiming to establish itself as a mediator between major players like the U.S., China, and the EU in the rapidly evolving tech sector. Prime Minister Rishi Sunak, who envisions the UK as a hub for AI safety, warns of the technology’s potential misuse by criminals and terrorists. 

The summit, which will take place at Bletchley Park, will bring together influential figures, including US Vice President Kamala Harris and Google DeepMind CEO Demis Hassabis, to initiate an international dialogue on AI regulation. But the move also presents a stark choice. Should the UK aim for global leadership in AI safety while ignoring immediate, local concerns?

Pace vs. Safety

The competitive landscape of AI is driving companies to prioritize speed over safety. Generative AI technologies like ChatGPT and DALL-E are emerging faster than our collective understanding of their ethical implications. This mad dash towards innovation may sacrifice the time and resources required to conduct critical ethical scrutiny, potentially unleashing technologies whose consequences we are ill-prepared to manage.

Some industry experts argue that integrating ethical considerations into AI product development could introduce greater benefits. However, this comes at the expense of disbanding specialized units whose sole focus is on the ethical dimensions of AI. The absence of these concentrated centers of expertise may dilute the focus on ethics, making it a sidelined consideration rather than a core development element.

The gap between public discourse and corporate actions is glaringly evident. Big tech publicly advocates for ethical AI, yet their companies appear to contradict these statements with actions like layoffs and project cancellations. This creates a public debate that fails to align with the reality of corporate conduct.

The Bottom Line

At the crossroads of technological innovation and ethical considerations, the widening gap between Big Tech’s public declarations and their actual practices can no longer be ignored.

Their commitment to responsible AI appears increasingly cosmetic when they dismantle specialized ethics teams under the guise of broader corporate restructuring.

This shatters the illusion of ethical governance and risks eroding the public trust, legitimizing their operations in society.

The strategic neglect of ethics, viewed erroneously as a “cost center,” exposes a short-sightedness that is incommensurate with the pervasive and enduring impact that AI is poised to have on our world. By prioritizing immediate market gains over long-term societal considerations, these companies risk public backlash and potential legal ramifications that could hinder future innovation and growth.

The discord between Big Tech’s public ethics advocacy and internal decision-making clouds the public discourse and questions these organizations’ integrity. This creates a theatre of ethical discussion that bears little resemblance to the backstage reality. As we continue integrating AI into the fabric of our lives and social systems, the imperative for a robust and genuine ethical framework has never been greater.

To fail in this regard is not merely to risk public trust but to gamble with the moral landscape of our future.

As the failures of Silicon Valley’s ‘move fast and break things’ mantra become increasingly evident, abandoning the ethical framework around AI is not merely risky—it’s an abdication of our collective responsibility to steer technology toward the betterment of society rather than its detriment.


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Neil C. Hughes

Neil is a freelance tech journalist with over two decades of IT experience. Celebrated as one of LinkedIn's Top Voices in technology and recognized by CIO Magazine and ZDNet for his influential insights, Neil has contributed to publications like INC, TNW, TechHQ, and Cybernews while also hosting the popular Tech Talks Daily Podcast.