Towards Ethical Deployment of AI for Conservation Systems

Publikation: Konferencebidrag › Paper › Forskning › fagfællebedømt

Standard

Towards Ethical Deployment of AI for Conservation Systems. / Belongie, Serge; Kaeser-Chen, Christine; Birch, Tanya; Chou, Katherine; Gadot, Tomer; Adam, Hartwig; Robertson, Tim; Fegraus, Eric; Morris, Dan.

2019. Paper præsenteret ved Data Mining and AI for Conservation.

Publikation: Konferencebidrag › Paper › Forskning › fagfællebedømt

Harvard

Belongie, S, Kaeser-Chen, C, Birch, T, Chou, K, Gadot, T, Adam, H, Robertson, T, Fegraus, E & Morris, D 2019, 'Towards Ethical Deployment of AI for Conservation Systems', Paper fremlagt ved Data Mining and AI for Conservation, 01/10/2019 - 31/10/2019. <https://vision.cornell.edu/se3/wp-content/uploads/2019/07/dmaic.pdf>

APA

Belongie, S., Kaeser-Chen, C., Birch, T., Chou, K., Gadot, T., Adam, H., Robertson, T., Fegraus, E., & Morris, D. (2019). Towards Ethical Deployment of AI for Conservation Systems. Paper præsenteret ved Data Mining and AI for Conservation. https://vision.cornell.edu/se3/wp-content/uploads/2019/07/dmaic.pdf

Vancouver

Belongie S, Kaeser-Chen C, Birch T, Chou K, Gadot T, Adam H o.a.. Towards Ethical Deployment of AI for Conservation Systems. 2019. Paper præsenteret ved Data Mining and AI for Conservation.

Author

Belongie, Serge ; Kaeser-Chen, Christine ; Birch, Tanya ; Chou, Katherine ; Gadot, Tomer ; Adam, Hartwig ; Robertson, Tim ; Fegraus, Eric ; Morris, Dan. / Towards Ethical Deployment of AI for Conservation Systems. Paper præsenteret ved Data Mining and AI for Conservation.3 s.

Bibtex

@conference{b04dd515349e4259ba25c0f552aa0b96,
title = "Towards Ethical Deployment of AI for Conservation Systems",
abstract = "The ability to collect, aggregate, and process “big data”, particularly with artificial intelligence (AI) tools, has the potential to facilitate breakthrough research in conservation. As institutions develop and deploy such systems at scale, it is critical that they be designed with ethics, fairness, and transparency best practices in mind. In this short paper, we outline potential ethical concerns around AI for conservation as a starting point for further work to advance.",
author = "Serge Belongie and Christine Kaeser-Chen and Tanya Birch and Katherine Chou and Tomer Gadot and Hartwig Adam and Tim Robertson and Eric Fegraus and Dan Morris",
year = "2019",
month = oct,
language = "English",
note = "Data Mining and AI for Conservation ; Conference date: 01-10-2019 Through 31-10-2019",

}

RIS

TY - CONF

T1 - Towards Ethical Deployment of AI for Conservation Systems

AU - Belongie, Serge

AU - Kaeser-Chen, Christine

AU - Birch, Tanya

AU - Chou, Katherine

AU - Gadot, Tomer

AU - Adam, Hartwig

AU - Robertson, Tim

AU - Fegraus, Eric

AU - Morris, Dan

PY - 2019/10

Y1 - 2019/10

N2 - The ability to collect, aggregate, and process “big data”, particularly with artificial intelligence (AI) tools, has the potential to facilitate breakthrough research in conservation. As institutions develop and deploy such systems at scale, it is critical that they be designed with ethics, fairness, and transparency best practices in mind. In this short paper, we outline potential ethical concerns around AI for conservation as a starting point for further work to advance.

AB - The ability to collect, aggregate, and process “big data”, particularly with artificial intelligence (AI) tools, has the potential to facilitate breakthrough research in conservation. As institutions develop and deploy such systems at scale, it is critical that they be designed with ethics, fairness, and transparency best practices in mind. In this short paper, we outline potential ethical concerns around AI for conservation as a starting point for further work to advance.

UR - https://www.researchgate.net/publication/336881971_Towards_Ethical_Deployment_of_AI_for_Conservation_Systems_Global_Biodiversity_Information_Facility_Conservation_International_Wildlife_Insights

M3 - Paper

T2 - Data Mining and AI for Conservation

Y2 - 1 October 2019 through 31 October 2019

ER -

ID: 304515626