对杀手机器人的痴迷是一种自我反思
杀手机器人，反乌托邦人工智能，机器起义。为何我们如此着迷与设想我们的机器与我们作对？让我们揭示我们对机器崛起的痴迷。
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杀手机器人，反乌托邦人工智能，机器起义。为何我们如此着迷与设想我们的机器与我们作对？让我们揭示我们对机器崛起的痴迷。
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We use to think of information as the content of documents and media. But contemporary physicists and philosophers are also suggesting a generalized meaning of information as any “difference that makes a difference.” In this view, absolute information simply is the fact that things are as they are, instead of being different: elephants are grey rather than red, the Eiffel Tower is squared rather than round, and so on. Such informational perspective may help us understand important aspects in the overall structure of the world, that philosophers try to describe in the sub-discipline called ontology. One such structural aspect is the existence of several major levels of reality, including matter, life, mind and culture.
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The findings of our study lead us to think about how to evaluate search systems for creativity. Should future evaluation of creativity search tools focus on the final ideas generated as a result of searching, the ultimate outcomes, or the assistance provided throughout each of our identified phases?
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I write this article now, just over three years after first embarking on my journalism-research journey with Dr. Steve Sawyer, the Editor-in-Chief of JASIST—or, as I know him, Steve. Working with Steve has been eye-opening in a way that reading about academic publishing could never be. I continue to work with Steve as a volunteer for JASIST, and I am still learning new things every day.
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In almost all hobbies that I have studied so far, people with similar interests are actively engaged in creating a Community of Interest (COI) whether in real world, like local clubs, or online platforms, such as digital forums on Facebook. Forming a COI is the first step to develop it into a Community of Learning (COL) and even establishing a Community of Practice (COP) down the road.
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In recent years we have been witnessing more and more a spectacularisation of information, in the sense that we are no longer interested in the information itself but rather in the emotional reaction it produces in the audience that uses it. Hence, the term infotainment, which is the combination of two words: information and entertainment.
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Human-centred security is no longer an option in a world where technology is advancing at dizzying speed; it is a must. To strengthen and make substantial strides toward safeguarding our digital lives, it is essential to identify and tackle the human aspect of information system design.
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“Do you see,” “I hear you,” “It doesn’t feel right,” “I smell a rat,” “it tastes funny”—all common phrases we use to express whether or not we are making sense of our situations and interactions. Sense-making involves not only the five senses, but physical, emotional, spiritual, and intuitional responses. We strive to make better sense of our situations and our dealings with other people as uncertainty makes us anxious.
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Imagine encountering news about COVID-19 for the first time or experiencing unexplained bodily discomfort. Some individuals remain calm, while others instinctively turn to the Internet for answers. However, the digital realm can be both a blessing and a curse. The more information we seek, the greater our anxiety tends to grow. It’s a paradox: the quest for knowledge can inadvertently fuel worry and apprehension.This situation can be described as “cyberchondria”: the compulsive and obsessive health information seeking associated with anxiety, worry, and other negative consequences.
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If artificial intelligence is so smart, why can’t it explain itself? This somewhat flippant question has preoccupied AI developers and researchers from the earliest days. Over 50 years later, the question is still relevant and increasingly urgent. When generative AI can hallucinate with impunity, there is a problem. Explainability is part of the answer.
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