The False Apocalypse: How AI’s Existential Threat Overshadows Its Ongoing Harm

The recent flurry of headlines about AI’s existential threat to humanity has sparked a necessary conversation about the dangers of unchecked artificial intelligence. However, this focus on future risks may be distracting from the harm that AI is causing today.

In the world of food production, for example, AI-powered farming equipment has increased crop yields and reduced waste. Nevertheless, its adoption has led to a loss of jobs for small-scale farmers. In the United States alone, thousands of family-owned farms have been forced out of business due to the high costs of adopting AI-driven technology.

This issue is not just economic; it’s also a matter of social justice. The displacement of small-scale farmers disproportionately affects rural communities, where access to education and job opportunities is already scarce. While some may be concerned about the hypothetical threat posed by AI, others are more interested in using regulation as a means to secure their position in the market.

Consider Google’s DeepMind, which was acquired by Alphabet in 2014 for $500 million. Since then, the company has been at the forefront of AI research, but its true intentions remain unclear. As AI CEOs call for regulations, it’s clear that their primary concern is not public safety, but rather protecting their own interests.

To address this issue, we must hold AI CEOs accountable for their actions and demand transparency about their true intentions. We should also examine the ongoing harm caused by AI and consider its impact on communities like rural farmers who are struggling to stay afloat.

Regulating AI is a complex task that requires careful consideration of the benefits and risks involved. The past provides valuable lessons, such as the 1996 Telecommunications Act, which deregulated the telecommunications industry with the intention of promoting competition and innovation but ultimately led to the concentration of media ownership and erosion of net neutrality.

As we navigate the landscape of AI regulation, it’s essential that we engage in a nuanced conversation about the benefits and risks involved. We must avoid repeating the mistakes of the past by rushing into untested legislation. Instead, we should focus on creating regulations that promote transparency, accountability, and fairness.

The future of AI is uncertain, but one thing is clear: we must approach it with caution and critical thinking. We owe it to ourselves, our children, and the countless people who are already suffering because of this technology.