Description
Underlying the growing use of emerging technologies, Artificial Intelligence (AI) and Data Visitation (DV), is a concern to ensure that data subjects are protected. In this meeting we will explore the current state of data tools, guidelines, and proposals for policies and regulations promoting trust in AI and federated systems which will ultimately advance Open Science (RDA AI-DV, 2023) and fundamental human rights.
The implementation of advanced technologies and big data initiatives in smart cities urges our attention paid to AI ethics and data governance, in addition to cybersecurity, confidentiality, and issues of privacy and surveillance. Public debate on epidemiological surveillance was at the very heart of Covid-19 response, as well as trust in government vs. freedom, and responsibility vs. social polarization. Lessons learned in Covid-19 on service design and data tools are therefore part of the knowledge-base reviewed in this meeting.
Geopolitics also plays a role. Given Israel’s recent political climax regarding democracy, fighting to defend civil rights and trustworthy institutions, we learn on the fragility of our systems in extreme events – and the importance of shared values. Therefore, the closing discussion concludes on values referring to impetus to collaborate during extreme events that can open new innovation opportunities.
Paper Number
1334
Recommended Citation
Purian, Ronit; Meyers, Natalie; and Ho, Shuyuan Mary, "The Future of System Goals and Human Rights: Data Governance, AI Ethics, and Lessons Learned in Covid-19 for Research Data" (2023). AMCIS 2023 Proceedings. 1.
https://aisel.aisnet.org/amcis2023/pds/pds/1
The Future of System Goals and Human Rights: Data Governance, AI Ethics, and Lessons Learned in Covid-19 for Research Data
Underlying the growing use of emerging technologies, Artificial Intelligence (AI) and Data Visitation (DV), is a concern to ensure that data subjects are protected. In this meeting we will explore the current state of data tools, guidelines, and proposals for policies and regulations promoting trust in AI and federated systems which will ultimately advance Open Science (RDA AI-DV, 2023) and fundamental human rights.
The implementation of advanced technologies and big data initiatives in smart cities urges our attention paid to AI ethics and data governance, in addition to cybersecurity, confidentiality, and issues of privacy and surveillance. Public debate on epidemiological surveillance was at the very heart of Covid-19 response, as well as trust in government vs. freedom, and responsibility vs. social polarization. Lessons learned in Covid-19 on service design and data tools are therefore part of the knowledge-base reviewed in this meeting.
Geopolitics also plays a role. Given Israel’s recent political climax regarding democracy, fighting to defend civil rights and trustworthy institutions, we learn on the fragility of our systems in extreme events – and the importance of shared values. Therefore, the closing discussion concludes on values referring to impetus to collaborate during extreme events that can open new innovation opportunities.
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