Today, across nearly every societal sector, from corrections to education to health care, large-scale data analysis is a widely adopted tool. Our most personal behaviors and traits are regularly quantified by a rapidly growing array of sensors and devices around us. These devices are connected to intelligent systems that can render critical predictions about our conduct and choices—what we will buy, our health, when we will leave our jobs, whether we pay our bills, even whether we will commit crimes.

While data analytics promise to unlock extraordinary advances in productivity and research, fascinating legal and ethical issues arise as Big Data is deployed in new contexts:

• How does privacy law constrain the ability of data controllers to use or apply predictive judgments about us?
• Are the algorithms that increasingly measure and curate our lives fair, or can they encode discriminatory biases?
• In some contexts, such as genomic research, are privacy risks to individuals outweighed by the potentially life-saving benefits to society of research that requires large-scale processing of personal information?
• What is the role of information governance and regulation in facilitating and sculpting the uses of Big Data?

To interrogate these issues, DataLex is bringing together data scientists, policymakers, legal scholars, and privacy advocates to collectively consider these important issues using technical, social and ethical lenses simultaneously.

To register for this event, or for further information, including registration, please visit http://lex.ucsc.edu/resources/datalex_registration.html