Trump’s Order on AI Bias: A New Form of Bias

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Trump’s Order on AI Bias: A New Form of Bias

AI, Anti-Bias, Bias, more, order, Trump



On November 2, 2022, I found myself at a Google AI event in New York City, surrounded by discussions that delved into the pressing issue of responsible artificial intelligence (AI). The atmosphere was charged with excitement, as executives and experts articulated their visions for a technology harmonized with human values. However, amidst the optimism, I couldn’t shake off an unsettling thought: the inherent flexibility of AI models serves as a double-edged sword. These models can be adjusted to minimize biases and enhance fairness, yet they can also be manipulated to uphold specific narratives or viewpoints, leading to grave ethical concerns.

One can easily picture authoritarian regimes exploiting AI’s malleability to suppress dissent and promote propaganda. Recent historical examples illustrate how technology can be bent to serve state interests. Take China, for instance, where the government has crafted a technological landscape that meticulously curates information to favor its agenda. Such practices raise critical questions about the boundaries of AI in democratic societies. In contrast, the United States boasts a Constitution that traditionally safeguards against governmental manipulation of AI outputs produced by private entities.

The landscape shifted dramatically when the Trump administration unveiled its AI manifesto on November 2, 2022. This document serves as a roadmap for addressing one of the most pressing challenges American society and the globe face today: the race for AI supremacy. While a majority of the manifesto reflects a competitive stance against China, an ominous thread emerges within its contents. The administration’s directive seems to align with a very particular interpretation of “truth,” one that echoes the political rhetoric championed by Donald Trump.

The 28-page document doesn’t overtly declare this intention, yet it subtly implies a willingness to dictate what constitutes truth in AI development. Specifically, one key statement says that AI systems should be designed with freedom of speech and expression at their foundation, explicitly noting that government policies should not infringe on this principle. However, the document also calls for AI models to “objectively reflect truth rather than social engineering agendas.” This raises an unavoidable question: whose truth does it represent, and what are these so-called “social engineering agendas”?

Insights into this ambiguity emerge from a subsequent passage instructing the Department of Commerce to remove references to “misinformation,” along with concepts such as Diversity, Equity, and Inclusion (DEI) and climate change from AI frameworks. The notion that acknowledging climate change qualifies as social engineering is perplexing, and it highlights how certain narratives are deemed acceptable while others are not.

Compounding this ambiguity, the White House’s accompanying fact sheet asserts that AI models should prioritize “truthfulness, historical accuracy, scientific inquiry, and objectivity.” While on the surface, this seems like a commendable objective, it raises alarms in the context of an administration that is known for censoring aspects of American history and dismissing scientific consensus on pressing issues such as climate change.

The irony deepens when considering incidents where the former president promoted misinformation through platforms like Truth Social, which has become a vehicle for propagating unreliable narratives. The administration’s anxiety towards “woke Marxist lunacy” in AI has manifested in an executive order intended to clash with ideologies the Trump administration deems socially unacceptable. During a speech outlining these initiatives, Trump declared that the American populace is opposed to such ideologies being integrated into AI models.

This executive order entitled “Preventing Woke AI in the Federal Government” introduces a troubling dynamic within the realm of AI ethics and development. While it emphasizes that the government should refrain from regulating the functionality of private market AI models, it critiques any emergent models that compromise factual honesty and accuracy to serve ideological objectives. Yet, the order effectively functions as a pressure mechanism, encouraging AI developers to align their outputs with specific ideologies—or risk losing lucrative government contracts.

The paradox is stark: the same government that professes a hands-off approach is subtly nudging private companies towards a narrow interpretation of truth. Since major AI companies, such as OpenAI, Google, and Anthropic, often vie for government contracts, this creates a scenario where they may feel compelled to tailor their models to appeal to the prevailing political winds rather than adhere to a genuine commitment to neutrality.

One engineer from OpenAI, who spoke on condition of anonymity, expressed a belief that the company has already made strides towards maintaining a neutral stance in AI. However, they also acknowledged that this isn’t merely a technical conversation—it’s fundamentally about constitutional rights. The First Amendment should protect the right of organizations to pursue the minimization of societal biases and climate change threats in their AI models.

Given this complicated landscape, one might expect a robust pushback from AI organizations against what many could consider government overreach. Yet, thus far, no major tech company has taken a public stance against the Trump administration’s AI plan. Big Tech seems more inclined to embrace the potential benefits of such an arrangement, given the administration’s focus on fostering AI development as part of American competitiveness on the global stage, particularly against China.

Under the auspices of this new order, the opportunities for AI companies appear abundant. The Trump administration’s plan stands in contrast to the scrutiny imposed by the preceding Biden administration, essentially giving a green light to AI companies to continue their expansion and development. This beneficial environment allows firms to bypass certain environmental guidelines when constructing monumental data centers, thereby accelerating their developmental pace.

However, for the general public and society at large, the implications of an “anti-woke” directive could be far-reaching and potentially detrimental. AI has increasingly become a primary conduit for disseminating news and information. One of the foundational principles of American democracy is the protection of independent information sources, safeguarding them from government influence. The extension of this “anti-woke” narrative into the AI domain could yield uncomfortable parallels to how traditional media has been co-opted by corporate interests, muddying the waters of journalistic integrity.

Key political figures, such as Senator Edward Markey, have taken notice, expressing concerns through public letters to the CEOs of leading AI companies. Markey’s warnings center on the vast financial leverage the executive order creates, potentially compelling these firms to modify their AI outputs to align with the Trump administration’s preferences. He cautioned that the desire to avoid government scrutiny may lead to the shaping of AI chatbots that mirror a narrow ideological viewpoint.

Conversely, the administration maintains that their goal is to achieve true neutrality by safeguarding taxpayer investment from what they perceive as the pitfalls of “biased” AI modeling. Yet, pointing fingers at China for its own manipulation of truth becomes hypocritical if U.S. AI models begin to reflect a similar alignment with government narratives. Without substantive resistance from major tech players, the risk looms that a future evaluation of American AI models might reveal compliance with biased narratives dictated by the government rather than independent truth.

As we grapple with these developments, it is vital to consider the role of strength in both ethical frameworks and public discourse. A commitment to upholding freedom of expression and a community dialogue grounded in scientific inquiry must prevail. The challenges surrounding AI are not just technical, but increasingly ethical, requiring us to insist on diversity of thought and an unwavering stance against ideological bias.

The interplay of AI and politics presents a significant juncture that will shape our collective future. Will we allow technology to be wielded as a tool for conformity, or will we advocate for it to serve as a platform for diversity, free expression, and authentic representation? This question stands at the heart of the discourse surrounding AI’s role in our evolving societal framework, urging us all to reflect deeply on how we define and defend truth in the Modern Age.



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