Analytics can push the frontier of knowledge well beyond the useful facts that already reside in big data, revealing latent correlations that empower organizations to make statistically motivated guesses—inferences—about the character, attributes, and future actions of their stakeholders and the groups to which they belong.
This is cause for both celebration and caution. Analytic insights can add to the stock of scientific and social scientific knowledge, significantly improve decision-making in both the public and private sector, and greatly enhance individual self-knowledge and understanding. They can even lead to entirely new classes of goods and services, providing value to institutions and individuals alike. But they also invite new applications of data that involve serious hazards.
This panel considers these hazards, asking how analytics implicate:
· Privacy — What are the privacy concerns involved in the kinds of inferences and applications that analytics enable? Are these concerns sufficiently well understood and accounted for?
· Autonomy — What are the ethical stakes of applications that draw on analytic findings to selectively (and perhaps inadvertently) influence or limit individuals’ choices or decision-making?
· Fairness — If organizations rely on certain discoveries to set criteria for unequal treatment or access, do analytics implicate questions of fairness and due process? More specifically, what if organizations draw on analytics to individualize risks or engage in adverse selection or cream skimming?
· Fragmentation — Do attempts to personalize and customize goods and services (including media content) to individuals on the basis of inferred preferences shield individuals from certain views and issues and thus undermine social belonging and the functioning of the public sphere?
The panel will also debate the appropriate response to these issues, reviewing the place of norms, policies, legal frameworks, regulation, and technology.