Data, Security, and Trust in Smart Cities - Data (In)Security: The Imperative of Trust

Michael McLaughlin, co-leader of the Cybersecurity and Data Privacy Practice Group, has contributed a chapter titled "Data (In)Security: The Imperative of Trust" to the book "Data, Security, and Trust in Smart Cities." As society increasingly embraces artificial intelligence (AI), the reliance on aggregate data—from autonomous vehicles to generative pretrained transformers (GPTs)—grows. Michael emphasizes that the value of these data-driven AI tools hinges on the authenticity and accuracy of the data they utilize. High-quality data can yield valuable insights and drive critical decision-making, while inaccurate data can lead to misguided predictions and dangerous outcomes.

"Data, Security, and Trust in Smart Cities" provides a comprehensive perspective on issues related to the trustworthiness of information in the emerging "Smart City." Topical issues include trust in technologies, such as the use of machine learning (ML) and artificial intelligence (AI), the importance of encryption and cybersecurity, and the value of protecting of critical infrastructure. Structural issues include legal and governmental institutions, including the basis and importance of these fundamental components of society. Functional issues also include issues of societal trust related to healthcare, medical practitioners, and the dependence on reliability of scientific results.

The book and its individual chapters are now available for purchase and download.