[Esip-datareadiness] [03/21 4pm EDT/UTC-4] ESIP Data Readiness Cluster Webinar – Applied Transparency as a Mechanism for Responsible AI

[Douglas Rao - NOAA Affiliate]

Hi all,

Just want to share the recordings from last week including the discussions
that are available on ESIP YouTube channel (https://youtu.be/DhDxc2Es5io).

Best,
-Douglas

On Wed, Mar 20, 2024 at 7:09 PM Douglas Rao - NOAA Affiliate <
douglas.rao at noaa.gov> wrote:

> Dear all,
>
> You are invited to the Data Readiness Cluster on 03/21 at 4pm EDT/UTC-4
> with Dr. Kasia Chmielinski (The Data Nutrition Project) titled "Applied
> Transparency as a Mechanism for Responsible AI". See details below. You can
> join the meeting using the ESIP Community Calendar.
> <https://www.esipfed.org/event/data-readiness-guest-speaker/>
>
> *Title: *Applied Transparency as a Mechanism for Responsible AI
>
> *Abstract:* In the realm of artificial intelligence, it's no secret that
> the performance of AI systems is intrinsically tied to the data they are
> trained on. This correlation becomes increasingly critical in the era of
> Generative AI, where massive datasets can be either shrouded in proprietary
> secrecy or too vast to scrutinize effectively. Join us for a talk by Kasia
> Chmielinski (Stanford University affiliate and the co-founder of the Data
> Nutrition Project) about the importance of data standards and transparency
> tools to mitigate bias in algorithmic systems. They will discuss overall
> trends in the transparency space, with a deep-dive into the Dataset
> Nutrition Label, an intervention that highlights critical information about
> a dataset such as provenance, quality, and potential biases. Analogous to a
> food nutrition label, the Dataset Nutrition Label helps practitioners
> investigate the "health" of a dataset before its use in algorithmic
> systems, thus driving better usage and mitigating potential bias.
>
> *Bio:* Kasia Chmielinski (they/them) is the Co-Founder of the Data
> Nutrition Project, an initiative that builds tools to mitigate bias in
> artificial intelligence, and a fellow at Stanford University focused on
> building responsible data systems. They have held positions at the United
> Nations (OCHA), US Digital Service (EOP / OMB), MIT Media Lab, McKinsey &
> Company, and Google. They are also a purveyor of multimedia stories, and
> their work has been supported by organizations including the Rockefeller
> Foundation, Sundance Institute, Vision Maker Media, and NPR.
>
> -Douglas
>
> --
> Douglas Rao, Ph.D. (he/him/his)
> Research Scientist
> North Carolina State University <http://www.ncsu.edu>
> Cooperative Institute for Satellite Earth System Studies (CISESS)
> <http://www.ncics.org>
> NOAA National Centers for Environmental Information
> <http://www.ncei.noaa.gov>
> 151 Patton Ave. Asheville, NC 28801
> +1.828.271.4903
>
> I work on a flexible work schedule and across a number of time zones.
> Apologies for any out of hours email.
>
> "Every individual matters. Every individual has a role to play. Every
> individual makes a difference.” – *Dr. Jane Goodall*
>


-- 
Douglas Rao, Ph.D. (he/him/his)
North Carolina State University <http://www.ncsu.edu/>
Cooperative Institute for Satellite Earth System Studies (CISESS)
<https://ncics.org/>
NOAA National Centers for Environmental Information
<http://www.ncei.noaa.gov>
151 Patton Ave. Asheville, NC 28801

douglas.rao at noaa.gov
+1.828.271.4903
Pronoun: he/him/his
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