Explainable Artificial Intelligence and its potential within Industry
Explainable Artificial Intelligence and its potential within Industry
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可解释的人工智能及其在行业中的潜力
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发表时间：
2019
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通讯作者：
Saad Mahamood
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作者：
Saad Mahamood
大数据时代使得阿尔蒂办公智能解决方案的创建成为可能，这些解决方案使系统能够更好地响应用户的请求和需求。诸如推荐系统、自动化内容生成系统等的应用越来越多地利用如此大量的数据来做出关于如何适当地定制其输出的更明智的决策。然而，这些人工智能系统在如何得出决策或输出方面的不透明性导致人们越来越多地要求透明度，越来越多地担心在金融和刑法等领域可能出现偏见。这些呼吁的高潮导致了试探性的立法步骤。例如，作为最近颁布的欧盟《一般数据保护条例》一部分的“解释权”。自然语言生成（NLG）已成功地用于许多数据到文本的应用程序，使用户能够从他们的数据集获得见解。虽然NLG技术在为AI模型生成解释方面发挥着重要作用，但在商业环境中开发和部署文本生成系统仍然面临着挑战。在这次演讲中，我将探讨自然语言可解释人工智能在trivago和更广泛的行业中的作用和潜力。Trivago是一个领先的住宿元搜索引擎，使用户能够以合适的价格找到合适的酒店或公寓。特别是，本次演讲将描述我们在Trivago中应用自然语言解决方案所做的工作，以及从商业角度应用AI解决方案所面临的挑战。最后，本次演讲还将探讨可解释的人工智能方法在trivago中的潜在应用。
The age of Big Data has enabled the creation of artificial intelligence solutions that has allowed systems to better respond to their users requests and needs. Applications such as recommender systems, automated content generation systems, etc. are increasingly leveraging such large amounts of data to make better informed decisions about how to tailor their output appropriately. However, the opaqueness of these AI systems in how they derive their decisions or outputs has led to an increasing call for transparency with increasing concerns for the potential of bias to occur in areas such as finance and criminal law. The culmination of these calls have lead to tentative legislative steps. For example, the "Right to explanation" as part of the recently enacted European Union’s General Data Protection Regulation. Natural Language Generation (NLG) has been used in successfully in many data-to-text applications allowing users to gain insights from their data sets. Whilst NLG technology has a strong role to play in generating explanations for AI models there still remains inherit challenges in developing and deploying text generation systems within a commercial context. In this talk I will explore the role and potential that Natural Language Explainable AI can have within trivago and the wider industry. trivago is a leading accommodation meta-search engine that enables users find the right hotel or apartment at the right price. In particular, this talk will describe the work we have done to apply natural language solutions within trivago and the challenges of applying AI solutions from a commercial perspective. Finally, this talk will also explore the potential applications of where explainable AI approaches could be used within trivago .