Dear all,
I invite you to attend a talk by Neha Kumar and Naveena Karusala on the
topic of "Braving Citational Justice within HCI", on Friday, November 13th,
2:30 pm PST. This talk was originally given as part of the Critical
Perspectives on Technology
<https://exceptional-norms.at/critical-perspectives/> seminar series at TU
Wien and we hope to create space for further discussion. We will be using this
Zoom link <https://washington.zoom.us/j/96452807274>. Abstract and bios are
below. Hope to see you there!
*Abstract*
Central to the sharing of knowledge are citations, and how, why, and where
citations are used has been an intense subject of study across disciplines.
We discuss the politics of knowledge production within HCI, drawing on
parallels from related fields, as well as reflecting on our own experiences
of being cited and not cited, citing, and not citing. We also present
recommendations for making concrete changes across the individual and
structural in HCI, related to how we view citations, and how we might move
towards the idea of citational justice.
*Bios*
Neha Kumar is an assistant professor at the Georgia Institute of
Technology, where she conducts research at the intersection of
human-centered computing and global development. She is learning to cite
justly.
Naveena Karusala is a fourth-year Ph.D. student in the ICTD lab at the
University of Washington. Her work is at the intersection of HCI, global
development, and health messaging. Her ideal world is one in which we do
not value a work or individual by citation count.
Best,
Samia Ibtasam <http://samiaibtasam.com/>
Paul G. Allen School of Computer Science & Engineering
University of Washington
Hi all,
We invite you to the next session of the X4D Talks <http://x4d.org> on
*November
11th* (use calendar link
<https://calendar.google.com/event?action=TEMPLATE&tmeid=NGlxcGRqYWc1aGJodnJ…>).
Our speakers include the following:
*Dr. Ayanna Howard *
Professor, School of Interactive Computing, Georgia Tech, USA
*Tackling the Human Bias in AI*
People tend to overtrust sophisticated computing devices, including AI
systems. As these systems become more fully interactive with humans during
the performance of day-to-day activities, the role of bias in these
human-AI interaction scenarios must be more carefully investigated. Bias,
as a feature of human life, has often been encoded in and can manifest
itself through AI algorithms, which humans then take guidance from,
resulting in the phenomenon of excessive trust. Bias further impacts this
potential risk for trust, or overtrust, in that these systems are learning
by mimicking our own thinking processes, inheriting our own implicit gender
and racial biases, for example. Consequently, the propensity for trust and
the potential of bias may have a direct impact on the overall quality of
the interaction between humans and machines, whether the interaction is in
the domains of healthcare, job-placement, or other high-impact life
scenarios. In this talk, we will discuss this phenomenon of integrated
trust and bias through the lens of AI systems that interact with people in
scenarios that are realizable in the near-term.
*Dr. Milind Tambe *
Professor, Harvard University and Director "AI for Social Good" at Google
Research India
*AI for Public Health and Conservation: Learning and Planning in the
Data-to-Deployment Pipeline*
With the maturing of AI and multiagent systems research, we have a
tremendous opportunity to direct these advances towards addressing complex
societal problems. We focus on the problems of public health and wildlife
conservation, and present research advances in multiagent systems to
address one key cross-cutting challenge: how to effectively deploy our
limited intervention resources in these problem domains. We present our
deployments from around the world as well as lessons learned that we hope
are of use to researchers who are interested in AI for Social Impact.
Achieving social impact in these domains often requires methodological
advances; we will highlight key research advances in topics such as
computational game theory, multi-armed bandits and influence maximization
in social networks for addressing challenges in public health and
conservation. In pushing this research agenda, we believe AI can indeed
play an important role in fighting social injustice and improving society.
*Dr. Maria De-Arteaga*
Assistant Professor, University of Texas Austin
*A Case for Humans in the Loop*
The increased use of algorithmic predictions in sensitive domains has been
accompanied by both enthusiasm and concern. To understand the opportunities
and risks of these technologies, it is key to study how experts alter their
decisions when using such tools. In this work, we study the adoption of an
algorithmic tool used to assist child maltreatment hotline screening
decisions. We show that, while humans do make use of recommendations, they
are less likely to adhere to the machine's recommendation when the score
displayed is an incorrect estimate of risk. These results highlight the
risks of full automation and the importance of designing decision pipelines
that provide humans with autonomy.
*Mr. Arbel Vigodny*
Chief Operating Officer, Zzapp Malaria
*AI in the service of malaria elimination in sub-Saharan Africa*
Malaria is one of the most persistent public health problems, responsible
for over 400,000 deaths per year. However, the basic tools to fight the
disease have been around for over a century, and have successfully
eliminated malaria from many countries around the world. In this talk I
will discuss how Zzapp uses AI to overcome the challenges involved in the
implementation of these tools in sub-Saharan Africa, where the disease
burden is highest, and how we bring AI to the most remote and inaccessible
regions.
*When: *November 11 | 3pm-4.30pm US EST (8pm-9.30pm UTC)
*Where: *https://ucl.zoom.us/j/98786206186
Warmly,
X4D Organizers