Big Data, Human Rights and the Ethics of Scientific Research
John Tasioulas ABC Religion and Ethics Australia
Updated 1 Dec 2016 (First posted 30 Nov 2016)
John Tasioulas is the Director of the Yeoh Tiong Lay Centre for Politics, Philosophy and Law at King’s College, London. This article is adapted from the 2016 Van Hasselt Lecture, which he recently delivered at the Delft University of Technology.
As we all know, digitization is radically transforming our lives. The internet, mobile devices, massive data collections and the analytics applied to them are propelling a digital revolution. The World Economic Forum spoke recently of a Fourth Industrial Revolution.
There are many inter-related facets to this digital revolution, but at the heart of it lie the increased capabilities to amass and store data and the analytical models applied to them for yielding knowledge.
This is the Big Data phenomenon. A phenomenon that is a rapidly advancing, pervading increasing areas of human existence from life insurance to the sentencing of criminals, and one that seems to be here to stay.
Yet the apparently inexorable rise of Big Data has provoked sharply conflicting responses.
At one end of the spectrum, we find unbridled enthusiasm about the proliferating opportunities to improve our lives; at the other end, there is increasing alarm at the pressures and distortions to which Big Data applications subject our established patterns of life.
For every opportunity that Big Data presents, there seems to be a corresponding anxiety.
So, on the one hand, Big Data has generated hopes about the potential good that it can bring to all facets of our lives. Some of the most beneficial applications of big data are expected in the area of biomedical research and public health. Early detection of disease outbreaks, identifying the genomic underpinning of diseases, or recognizing patterns of unknown and unreported adverse side-effects of blockbuster drugs, are just some of the areas in which big data applications have delivered promising results.
But, on the other hand, the Snowden revelations about government surveillance have underscored growing fears about how certain uses of Big Data can undermine not just privacy, but ultimately trust, democracy and liberty. The stream of reports about hacked databases, data kidnapping and other cyber-crime have stoked fears of a new vulnerability in the digital world.
And so the pressing question arises: can we harness the potential of big data while keeping faith with our ethical values?
The appeal to ethics is often interpreted as a conservative gesture, one hostile to scientific progress. However, it is a bad mistake to view ethics and science as inherently in tension, to think of ethics as just a series of roadblocks on the path to scientific knowledge. Science is itself an inherently ethical enterprise. In order to grasp this, we need a suitably broad interpretation of the “ethical.”
Ethics is about goods that we have reason – and sometimes even an obligation – to pursue, such as the good of knowledge that can be used to bring about significant improvements in health. In this way, health research is an ethical enterprise from the very outset. After all, it would be deeply uncharitable to regard scientists engaged with Big Data as merely pursuing their narrow self-interest, whether defined in terms of monetary enrichment, satisfaction of curiosity, or career advancement. Instead, they are seeking public goods, goods that benefit all, such as scientific knowledge, which is both intrinsically valuable and instrumentally valuable as a means of realizing goods such as health, education, enjoyment, and so on.