Data Ethics Responsible AI

1.5 Credits · Level: Graduate, Undergraduate

The proliferation of data, cheap storage capacity, and powerful tools for extracting information from data cannot only enhance a firm’s bottom line but also benefit society at large. However, as with all advanced technologies, this comes with the potential of misuse. Adequate controls regarding the collection, storage, and use of data are needed to ensure that firms do not only achieve business success and comply with the law but also adhere to ethical norms. This course starts with providing a basic understanding of how domestic and international rules and regulations shape the legal framework within which firms use data analytics, and discusses why it is important for firms to go beyond these minimum requirements and adhere to their ethical obligations. Subsequently, the course discusses how firms can implement data governance practices that help them make value-based data-driven decisions. Regarding the latter, the course discusses various techniques that help firms make data-driven decisions that are not only robust and explainable but also free of human bias.