We hope to see you tomorrow! This is at 3pm US EST on 11/11. On Mon, Oct 26, 2020 at 6:55 PM Neha Kumar <neha.ku...@gmail.com> wrote:
> 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=NGlxcGRqYWc1aGJodnJtNjI1MzZsazIyamMgcnIzY25rNzFxaXNmamc2cDk3Y2hoZnJwdm9AZw&tmsrc=rr3cnk71qisfjg6p97chhfrpvo%40group.calendar.google.com>). > 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 >
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