The ‘relatively simple’ reason these tech experts say AI won’t replace humans any time soon

AI as an Instrument of Advancement
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Over the course of a single year, artificial intelligence has transitioned from being a speculative concept rooted in science fiction to becoming a practical tool leveraged for tasks such as enhancing resumes and planning travel itineraries.
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With the swift evolution of AI models such as OpenAI’s ChatGPT and Google’s Gemini, questions naturally arise as to whether these systems could one day entirely replace human capabilities.
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However, many experts in the field of technology believe such an outcome remains far from imminent.
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Theo Omtzigt, Chief Technology Officer at Lemurian Labs, emphasized in an interview with CNBC Make It, “AI can certainly recognize your house cat, but it’s not going to solve world hunger.”
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Mathematics serves as a fundamental limitation to AI’s potential to fully replace human beings.
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The reliance of AI systems on mathematical frameworks highlights the complexity of this issue. Large language models, a subset of generative AI, utilize robust mathematical algorithms to process vast datasets and identify patterns, enabling the generation of outputs such as text, images, videos, or audio based on user prompts.
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Nevertheless, human intelligence surpasses basic pattern recognition, a key reason why the algorithms underpinning current AI systems are described by Omtzigt as “relatively super simple.”
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Omtzigt elaborated, “Right now, the machine learns to recognize a cat and how it appears under various lighting conditions. To develop an AI capable of ethical reasoning, creative thought, and consciousness, substantial advancements in our understanding would be required before such systems could pose any significant existential risk to humanity.”
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Another critical distinction lies in the manner in which AI systems acquire and process knowledge, which differs fundamentally from human cognition.
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Justin Lewis, Vice President of Incubation and Engineering at BP, remarked during a panel discussion at the AI Summit New York 2023, “Generative AI and machine learning techniques are heavily predicated on correlation rather than causation.”
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For instance, an AI model analyzing images of rain might associate rain with clouds due to their consistent co-occurrence in data. In contrast, humans inherently understand the causal relationship that clouds produce rain, as explained by James Brusseau, a philosophy professor at Pace University and AI ethics lecturer at the University of Trento.
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Brusseau further noted, “AI and humans are both creators of knowledge, just as sculptors and painters are both artists. However, they will perpetually differ in their methodologies and outputs. One is not inherently superior to the other; rather, they are fundamentally distinct.”
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AI will not replace humans; however, individuals proficient in its use will lead progress.
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For additional insights, consider reviewing the thought-provoking remarks by Bill Gates on the subject, accessible via this CNBC article.
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Concerns regarding AI replacing humans are not entirely unfounded. However, it is not the AI systems themselves that pose a threat, but rather the disparities that may emerge between those who embrace AI and those who do not.
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Trevor Back, Chief Product Officer at Speechmatics, stated during the AI Summit New York 2023, “There’s going to be a clear difference between individuals and organizations leveraging AI and those that abstain. Adaptation will be critical to remain competitive in the evolving landscape.”
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Currently, AI is widely viewed as a tool to enhance human productivity. For example, software engineers harness AI to expedite the code review process and detect potential errors that might otherwise have been overlooked.
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As AI is likely to remain an integral component of future innovation, James Brusseau stresses the importance of developing an understanding of these systems to mitigate concerns of obsolescence.
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“Curiosity is essential,” Brusseau emphasized. “Rather than fearing what the machine might do to you, focus on exploring what it can do for you.”