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Data for Better Living: AI and Privacy

Data for better living is a core challenge today. Recent advances in information and communication technology, such as the Internet of Things and cloud computing technologies, enable the collection, storing, sharing, analysis and processing of large amounts of data, in a scalable and efficient manner.

Thanks to this progress, artificial intelligence (AI) has renewed its popularity in many different sectors, such as healthcare, finance, heavy industry, and crime prevention and detection. Based on all the data available, companies, organisations, public authorities or other stakeholders can use advanced machine learning techniques in many different ways. They can infer valuable insights from evidence, improve the accuracy of their predictions, and make better or faster decisions.

At the same time, these benefits may come with a high cost in terms of privacy exposure given the high sensitivity and vast amounts of data that are collected and processed. The collected/processed data can result in the inference of rich and accurate information about individuals. Such profiling poses serious privacy risks. In the last few years, severe data breaches have occurred causing serious damage. Adversaries may exploit the technology to disrupt existing analytics or engage in malicious activities, such as developing privacy-invasive learning systems, without detection. Organisations face the challenge of integrating data protection and identity management into their risk management systems or establish them.

Recent advances in artificial intelligence techniques may help identify such privacy exposure and hence improve privacy protection. There is an urgent need for data processing that enables sufficient protection of collected data, safeguards individuals’ rights and freedoms, and yet still makes use of AI tools to improve individuals’ lives and serve the public interest.

The goal of this summer school is to focus on the relationship between AI and privacy. Attendees at the school will identify the main threats to individuals’ rights and freedoms, discuss challenges to reconcile AI and privacy, and find ways to address conflicting goals and requirements. They will, overall, take into account technical, legal, economic, and social science challenges.

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