Suppose you just had a nasty fight with your boyfriend. The algorithm in charge of your sound system will immediately discern your inner emotional turmoil, and based on what it knows about you personally and about human psychology in general, it will play songs tailored to resonate with your gloom and echo your distress. These particular songs might not work well with other people, but are just perfect for your personality type. After helping you get in touch with the depths of your sadness, the algorithm would then play the one song in the world that is likely to cheer you up –perhaps because your subconscious connects it with a happy childhood memory that even you are not aware of. No human DJ could ever hope to match the skills of such an AI.
假设你刚刚与男友发生了激烈的争吵，管控声音系统的算法将立即发觉你内心的波动，它根据对你以及人类心理的一般性了解，播放专门的歌曲来表现你的愁闷，重现你的沮丧心情。这些特定的歌曲可能对其他人来说不管用，但却是为你的人格类型量身打造的。在帮你触碰到内心深处的悲伤后，算法接下来会播放一首可能让你振作起来的歌曲——可能是因为你的潜意识已经将这首歌曲与童年美好回忆联系起来了，甚至连你自己都一无所知。人类的音乐主持人在这方面的能力没法与人工智能相媲美。
假设你刚和男友大吵一架，负责音响系统的算法就会立刻发现你内心的情绪波动，并根据它对你个人以及对整体人类心理的了解，自动播放适合你的歌曲，与你的忧郁共鸣，附和你的悲伤。它放的这些歌曲可能不适合其他人，但完全符合你的性格类型。算法先把你带到悲伤的底层，然后放出全世界最可能让你振作起来的那首歌，原因可能是这首歌在你的潜意识里与某个快乐的童年记忆紧密相连，而你可能根本毫无察觉。任何一位人类音乐节目主持人，都不可能与这样的人工智能相匹敌。【林俊宏】
You might object that the AI would thereby kill serendipity and lockus inside a narrow musical cocoon, woven by our previous likes and dislikes.What about exploring new musical tastes and styles? No problem. You could easily adjust the algorithm to make 5 per cent of its choices completely at random, unexpectedly throwing at you a recording of an Indonesian Gamelan ensemble, a Rossini opera, or the latest K-pop hit. Over time, by monitoring your reactions, the AI could even determine the ideal level of randomness that will optimise exploration while avoiding annoyance, perhaps lowering its serendipity level to 3 per cent or raising it to 8 percent.
你可能会反对，认为人工智能可能因此扼杀偶然性，将我们封锁在由我们之前的喜好所编织的狭窄的音乐防护层里。我们该如何探索新音乐品味和风格呢？没问题。你可以轻松地调节算法，让它将5%的选择完全随机化，在不经意间为你播放一首印度尼西亚佳美兰乐团的歌曲，一部罗西尼（Gioacchino Rossini，意大利作曲家）的歌剧或者最近的韩国热门唱片。人工智能通过不断监控你的反应，甚至能够确定理想的随机水平，既能最大化地探索新音乐，又能不让你厌烦。兴许是将随机化水平降低到3%，或者提升到8%。
你可能会提出异议，认为这样一来，人工智能不就扼杀了所有的偶然，把我们束缚在一个狭隘的音乐“茧”里，一丝一缕都是由我们自己的好恶织成的？你是想探索新的音乐品味和风格吗？没问题。你可以轻松地调整算法，让它完全随机地挑选5%的内容，为你播放印度尼西亚甘美兰（Gamelan）合奏，罗西尼的歌剧，或者最新的韩国流行音乐。慢慢地，通过监控你的反应，人工智能甚至能判断出对你来说理想的随机性程度，可能是上调至8%，也可能是下调到3%，让你既能探索新音乐，又不会觉得厌烦。【林俊宏】
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