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'Businesses aren't advertising their use of ai'

机译:商家没有宣传使用人工智能的广告

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'The RTI lab is a collaboration between the police, TNO and the HSD (Hague Security Delta, ed). We support security organisations when updating real-time intelligence, and experiment with new methods and techniques, including AI. We always take account of different perspectives: what does AI mean to people or processes, what are the technical issues, and which legal and ethical questions arise? The police always want to use the latest technology, so we experiment to learn more about the next step. Take imaging, for example. The Netherlands is full of security cameras. Can you use AI to detect deviant patterns in all the image material they provide? There's another new technique that could be used in the control room. When every second counts, you need to quickly understand what's going on. But what if someone is speaking a different language? Could a computer interpret the situation swiftly through its ability to learn from previous calls and understand many different languages? There are numerous examples of how AI can assist us, mainly because it can base itself on enormous data sets. But AI is also a challenge, particularly for the police. Take algorithms that can calculate the risk of a criminal career. How can you make a system like this competent and transparent, without bias (prejudices, ed.)? How can you expose the reasoning of a system and prove that it isn't biased? It's for challenges like this that we need institutions like TU Delft.
机译:RTI实验室是警察,TNO和HSD(Hague Security Delta,ed)之间的合作。我们在更新实时情报时为安全组织提供支持,并尝试包括AI在内的新方法和新技术。我们始终考虑不同的观点:人工智能对人员或流程意味着什么,技术问题是什么以及出现了哪些法律和道德问题?警察一直想使用最新技术,因此我们尝试通过实验了解更多有关下一步的信息。以成像为例。荷兰到处都是安全摄像机。您可以使用AI来检测它们提供的所有图像材料中的异常图案吗?在控制室中可以使用另一种新技术。当每一秒都很重要时,您需要快速了解发生了什么。但是,如果有人说另一种语言怎么办?计算机能否通过其从先前的呼叫中学习并理解许多不同语言的能力来快速解释情况?关于AI如何协助我们的例子有很多,主要是因为AI可以基于庞大的数据集。但是人工智能也是一个挑战,特别是对于警察而言。采用可以计算犯罪职业风险的算法。您如何才能使这样的系统胜任而透明,并且没有偏见(偏见,主编)?您如何揭露系统的推理并证明它没有偏见?我们需要像TU Delft这样的机构来应对这种挑战。

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    《Delft outlook》 |2018年第3期|10-11|共2页
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