Artificial intelligence faces a big problem: it only works for some people!

With the rapid advancement of artificial intelligence and robotics, public concern about their emotional and ethical implications has grown significantly. Even renowned physicist Stephen Hawking warned that one day, AI-driven robots could surpass humans as the dominant life form on Earth. Simon Chandler, the author of this article, argues that the real danger does not come from the machines themselves, but from those who create and control them. While figures like Hawking and Elon Musk have raised alarms about AI taking over, the most pressing threat today isn't about machines gaining autonomy or turning against their creators. Instead, it's the way these technologies are being used to reinforce existing power structures and widen societal divides. Currently, AI and robots are not autonomous beings, but rather tools designed to serve specific purposes. However, their efficiency in carrying out tasks—whether in finance, hiring, or law enforcement—can amplify the influence of those who control them. These systems reflect the values, biases, and interests of their creators, which are often not universally representative. For example, biased algorithms have already shown discriminatory tendencies. A 2016 study by ProPublica revealed that risk assessment tools used in U.S. courts disproportionately labeled African Americans as high-risk for reoffending, while similar tools trained on internet data have picked up on gender and racial stereotypes. This bias is not inherent in AI itself, but stems from the data it learns from—data shaped by human decisions and historical inequalities. Moreover, the widespread adoption of AI threatens millions of jobs, especially in industries where automation can replace human labor. This shift could deepen economic disparities, giving an advantage to developed nations and powerful corporations while leaving others behind. As AI becomes more integrated into daily life, it may reshape social structures in ways that favor a select few. The debate over granting AI rights or even citizenship raises further concerns. If robots are given legal protections, it could mean they are no longer just tools, but entities with their own interests. This shift could empower their owners, allowing them to use AI to further their goals without interference. In effect, AI could become a new instrument of power, controlled by a small group with significant influence. Efforts to embed “human values” into AI remain idealistic. The question remains: whose values are being taught? Who decides what is “universal”? Without clear guidance, AI will likely continue to reflect the priorities of its creators, reinforcing existing hierarchies rather than challenging them. In conclusion, the true challenge of AI lies not in the machines themselves, but in the people who design, deploy, and benefit from them. Ensuring that AI serves the broader good requires more than technical solutions—it demands a critical examination of power, bias, and the values we choose to embed in our technology.

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