Thank you for visiting my site.
I am an Assistant Professor of Philosophy and Data Ethics at the University of Oregon. I research the epistemic and ethical implications of the use of computational methods and technologies in science and society.
I have published papers on the epistemic implications of big data in science as well as on the challenges of justifying our ubiquitous reliance on computer simulations for scientific inquiry. I have also written about the challenges that opaque computational methods such as artificial intelligence, machine learning and big data pose to democratic processes.
Currently I am working on a number of papers: one, entitled “Kinds of Epistemic Opacity”, is on the nature and sources of opacity and draws a distinction between instances of epistemic opacity that emerge due to the epistemic limitations of an agent, and those that emerge due to other, independent reasons.
A second paper, “Epistemic Injustice in Data Science”, deals with the ethical dimensions associated with the methods, practices, and instruments of Data Science. Here we argue that the harms associated with data science can be better understood as epistemic harms. We also argue that understanding this last point, allows us to have a broader view of data ethics, which is able to capture ethically relevant issues even when the methods, practices and instruments of data science work perfectly well and/or for the good.
A third paper in production, “The Turing Test as a Moral Status Test”, argues that the Turing Test is is actually about the grounds on which we can/should grant or deny moral status to an interlocutor. This is in sharp contrast to conventional readings of Turing, in which the debate centers solely on issues of intelligence and/or lack thereof.
This summer I will be working on the final stages of a manuscript on the nature, influence, and role of computer simulations in scientific inquiry, entitled “Computer Simulations as Instruments”. An integral part of this manuscript comes from my dissertation work under the supervision of Professor John Symons at the University of Kansas, where I got my PhD. I am also putting together a monthly webinar series on Data Ethics starting this July and ending in December.