Dear all,
Today at 4:00 CET time, the AI interdisciplinary research group at the
University of Bonn will hold the first session of its "AI & mental health"
workshop. The workshop is open to everyone interested. Please write to
cgauvry@uni-bonn.de if you would like to receive zoom details for the
session.
AI & MENTAL HEALTH =E2=80=93 I. The Politics of Digital HealthNovember 8,=
4-6:30
pm
PROGRAM
4-5:15 p.m.: Prof. Dr. Tamar Sharon, Radboud University =E2=80=9CTowards a
Normative Pragmatics of Justice for the Googlization and Digitalization of
Society=E2=80=9D
The digitalization of health and medicine has engendered a proliferation of
new collaborations between public health institutions and data
corporations, such as Google, Apple, Microsoft and Amazon. Critical
perspectives on this =E2=80=9CGooglization of health=E2=80=9D tend to frame=
the risks
involved in this phenomenon in one of two ways: either as predominantly
privacy and data protection risks, or as predominantly commodification of
data risks. In this talk I discuss the limitations of each of these
framings and advance a novel conceptual framework for studying the
Googlization of health beyond (just) privacy and (just) market
transgressions. The framework draws on Michael Walzer=E2=80=99s theory of j=
ustice
and Boltanski and Th=C3=A9venot=E2=80=99s orders of worth to advance what I=
call a
=E2=80=9Cnormative pragmatics of justice=E2=80=9D that is better equipped t=
o identify and
address the challenges of the Googlization of health and
possibly of the digitalization of society more generally. Please find
attached an article that Tamar Sharon is circulating in preparation for the
workshop.
*5:15-6:30 p.m.: Dr. Saheli Burton, University College London, =E2=80=9CThe=
Value
of AI: the case of Mental *Health=E2=80=9D
Prevalent conceptualisations of value in narrow economic terms, especially
for policy purposes, is increasingly under review by scholars and
policymakers alike. This is reflected in recent policy initiatives such as
the European Commission=E2=80=99s =E2=80=98Responsible Research and Innovat=
ion=E2=80=99 (RRI)
framework, which urge the consideration of broader societal values in
technology development processes and outcomes. Yet, the task of how one
might incorporate the less-easily quantifiable non-technical considerations
in technology development while delivering measurable outcomes, or which
societal values should be prioritised, is not an easy one. In this
discussion, I will consider these issues through the lens of how value is
perceived by stakeholders in the specific case of emerging artificial
intelligence (AI)-driven technologies in mental health using a political
economic perspective. In particular, I will draw on the ongoing struggle to
routinise AI-driven clinical prediction models (for brain disorders) in
clinical practice to present the breadth of sociotechnical issues that need
attention for more responsible and socially desirable technology
development.
More information on speakers and workshops at:
https://www.cst.uni-bonn.de/en/research/ai-mental-health-1?set_language=3De=
n
Best wishes,
Apolline Taillandier | Postdoctoral research associate | Centre for Science
and Thought, University of Bonn | Leverhulme Centre for the Future of
Intelligence and Department of Politics and International Studies,
University of Cambridge | Poppelsdorfer Allee 28 53115 Bonn
