Google’s recent announcement about “AI Overviews” has created divisive reception. On one hand, it’s helping us by giving a shortcut to an answer and saving us effort to sift through a bunch of results. On the other hand, this shortcut robs us of our agency and ability to verify, question, and learn. Is this the future we want for accessing and interacting with information?
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Killer robots. Dystopian AI. Machine uprisings. Why are we utterly fascinated with the idea of our gadgets turning against us? Here I unravel our obsession with the rise of the machines and show that a big part of the appeal is really the projection of our own fears and dilemmas.
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In the last two decades, AI has advanced leaps and bounds to the point where we are seriously having conversations about ‘it’ being ‘intelligent’ as humans or even surpassing humans. But before we get too wrapped up in that excitement or fear, it’s important that we look inwards and ask — what makes us intelligent, conscious, and human?
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Large language models (LLMs) are starting to get integrated in many of our daily information access activities. But they often hallucinate and provide information that can be harmful. We can’t and shouldn’t trust them blindly, but what choice we have if they become our primary method of accessing information? We want to leverage the enormous potential LLMs have, but we also want them to be trustworthy. How do we do this? I offer three specific suggestions.
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AI offers tremendous benefits for deepening and widening access to information. But there are also many problem and challenges. The future of AI-driven information access is not set yet, but it’s constantly being shaped through our discourse, policies, and actions. What will we choose and do? Is it possible to leverage AI’s potentials while minimizing risks and harms? I propose three ethos to make that happen.
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Modern AI advancements are full of hopes and hypes and some horrors. The question is – can we address those horrors enough? Or is there a choice to make between autonomy and authority? How will that choice play out in a real world scenario?
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There are plenty of hopes and hypes about AI these days, but what is often lacking in these conversations is a set of questions that are more fundamental than what AI could, should and would do. These questions are about what we consider as intelligence, free will, and indeed what it is to be a human. The answers are not going to be easy or fast, but starting to ask these questions could help pave the way for not just the future of AI, but also the future of humankind.
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The primary drivers of AI advancements right now are not addressing user needs or information access problems; they are, rather, driven by competition.
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ChatGPT is a simple-to-use conversation agent developed by OpenAI. Of course, this is not the first time we have seen an AI agent that generates information. Google’s LaMDA and Meta’s Galactica are some recent examples for text generation.
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Many AI systems, especially those generating texts and images are starting to give an impression that they understand and even feel things. This illusion create misinformation and misdirection.
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