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Alexandra Luccioni

Biographic Data

ID9283922
NAMEAlexandra Luccioni
GIVEN NAMESAlexandra
FAMILY NAMELuccioni
SIGNATURELUCCIONI A
VERIFIEDNo
TOTAL WORKS4
TOTAL CITATIONS0
AUTHOR COUNT4
EDITOR COUNT0
FIRST PUBLICATION YEAR2020
LATEST PUBLICATION YEAR2021
H-INDEX0
  • From Artificial Intelligence Bias to Inequality in the Time of Covid-19

    Open Access•Miguel Luengo-Oroz, Joseph Bullock et al.•ARTICLE•IEEE Technology and Society…•2021

    As secretary general of the United Nations, Antonio Guterres said during the 2020 Nelson Mandela Annual Lecture, “COVID-19 has been likened to an X-ray, revealing fractures in the fragile skeleton of the societies we have built.” Without a doubt, the COVID-19 pandemic has exposed and exacerbated existing global inequalities. Whether at the local, national, or international scale, the gap between the privileged and the vulnerable is growing wider,…

  • On the Morality of Artificial Intelligence [Commentary]

    Open Access•Alexandra Luccioni, Alexandra Sasha Luccioni et al.•ARTICLE•IEEE Technology and Society…•2020

    Examines ethical principles and guidelines that surround machine learning and artificial intelligence

  • Estimating Carbon Emissions of Artificial Intelligence [Opinion]

    Open Access•Alexandra Luccioni, Alexandra Sasha Luccioni et al.•ARTICLE•IEEE Technology and Society…•2020

    The authors believe that tracking and communicating the environmental impact of ML should be a key part of the research and development process, and have developed a tool for estimating the carbon impact of this process, the Machine Learning Emissions Calculator (see Figure 1). We present the tool and its importance in the present article, and explore related issues and challenges

  • Sustainability in the Digital Age [Special Issue Introduction]

    Open Access•Amy Luers, Lyse Langlois et al.•ARTICLE•IEEE Technology and Society…•2020

    The articles in this special section focus on how disruptions whether they be natural or human impact society, technological development, and future outlooks. This section explores the opportunities and challenges of leveraging AI and other digital capabilities to drive the transformative system changes needed to tackle the climate crisis and related global sustainability challenges. The work presented here was initiated well before the pandemic …

No prominent works on this page.

  • On the Morality of Artificial Intelligence [Commentary]

    Open Access•Alexandra Luccioni, Alexandra Sasha Luccioni et al.•ARTICLE•IEEE Technology and Society…•2020

    Examines ethical principles and guidelines that surround machine learning and artificial intelligence

  • Estimating Carbon Emissions of Artificial Intelligence [Opinion]

    Open Access•Alexandra Luccioni, Alexandra Sasha Luccioni et al.•ARTICLE•IEEE Technology and Society…•2020

    The authors believe that tracking and communicating the environmental impact of ML should be a key part of the research and development process, and have developed a tool for estimating the carbon impact of this process, the Machine Learning Emissions Calculator (see Figure 1). We present the tool and its importance in the present article, and explore related issues and challenges

  • Sustainability in the Digital Age [Special Issue Introduction]

    Open Access•Amy Luers, Lyse Langlois et al.•ARTICLE•IEEE Technology and Society…•2020

    The articles in this special section focus on how disruptions whether they be natural or human impact society, technological development, and future outlooks. This section explores the opportunities and challenges of leveraging AI and other digital capabilities to drive the transformative system changes needed to tackle the climate crisis and related global sustainability challenges. The work presented here was initiated well before the pandemic …

  • From Artificial Intelligence Bias to Inequality in the Time of Covid-19

    Open Access•Miguel Luengo-Oroz, Joseph Bullock et al.•ARTICLE•IEEE Technology and Society…•2021

    As secretary general of the United Nations, Antonio Guterres said during the 2020 Nelson Mandela Annual Lecture, “COVID-19 has been likened to an X-ray, revealing fractures in the fragile skeleton of the societies we have built.” Without a doubt, the COVID-19 pandemic has exposed and exacerbated existing global inequalities. Whether at the local, national, or international scale, the gap between the privileged and the vulnerable is growing wider,…

Political science (3 works) · Artificial Intelligence (2 works) · Computer Science (2 works) · Engineering (2 works) · Ethics and Social Impacts of AI (2 works) · Pandemic (2 works) · Artificial Intelligence in Healthcare and Education (1 work) · Calculator (1 work) · Cognitive science (1 work) · Computer security (1 work)

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