Teresa Scantamburlo
Biographic Data
| ID | 1759572 |
|---|---|
| NAME | Teresa Scantamburlo |
| GIVEN NAMES | Teresa |
| FAMILY NAME | Scantamburlo |
| SIGNATURE | SCANTAMBURLO T |
| AFFILIATIONS | Ca' Foscari University of Venice |
| ORCID | 0000-0002-3769-8874 |
| VERIFIED | Yes |
| TOTAL WORKS | 8 |
| TOTAL CITATIONS | 1 |
| AUTHOR COUNT | 8 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2016 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 1 |
On prediction-modelers and decision-makers
An implicit ambiguity in the field of prediction-based decision-making concerns the relation between the concepts of prediction and decision. Much of the literature in the field tends to blur the boundaries between the two concepts and often simply refers to ‘fair prediction’. In this paper, we point out that a differentiation of these concepts is helpful when trying to implement algorithmic fairness. Even if fairness properties are related to th…
European reactions to AI in full and flawed democracies
This study examines the key factors that affect Europeans’ reactions to artificial intelligence (AI) in the context of both full and flawed democracies in Europe. AI applications have increasingly been integrated into democratic practices, ranging from micro-targeting of voters to election information campaigns and protests, as well as various administrative functions and services provided by governments. However, the impact of AI on democracy an…
The social turn of artificial intelligence
Social machines are systems formed by material and human elements interacting in a structured way. The use of digital platforms as mediators allows large numbers of humans to participate in such machines, which have interconnected AI and human components operating as a single system capable of highly sophisticated behaviour. Under certain conditions, such systems can be understood as autonomous goal-driven agents. Many popular online platforms ca…
Investing in AI for social good
Artificial Intelligence (AI) has become a driving force in modern research, industry and public administration and the European Union (EU) is embracing this technology with a view to creating societal, as well as economic, value. This effort has been shared by EU Member States which were all encouraged to develop their own national AI strategies outlining policies and investment levels. This study focuses on how EU Member States are approaching t…
Analyzing the changing landscape of the Covid-19 vaccine debate on Twitter
The issue of vaccine hesitancy has posed a significant challenge during the Covid-19 pandemic, as it increases the risk of undermining public health interventions aimed at mitigating the spread of the virus. While the swift development of vaccines represents a remarkable scientific achievement, it has also contributed to skepticism and apprehension among some populations. Against this backdrop, the suspension of the AstraZeneca vaccine by the Eur…
Non-empirical problems in fair machine learning
The problem of fair machine learning has drawn much attention over the last few years and the bulk of offered solutions are, in principle, empirical. However, algorithmic fairness also raises important conceptual issues that would fail to be addressed if one relies entirely on empirical considerations. Herein, I will argue that the current debate has developed an empirical framework that has brought important contributions to the development of a…
On social machines for algorithmic regulation
Autonomous mechanisms have been proposed to regulate certain aspects of society and are already being used to regulate business organisations. We take seriously recent proposals for algorithmic regulation of society, and we identify the existing technologies that can be used to implement them, most of them originally introduced in business contexts. We build on the notion of ‘social machine’ and we connect it to various ongoing trends and ideas, …
Machine learning in decisional process
In this paper we would like to undertake a critical examination of machine learning in the context of data revolution. Starting from the existing literature, which has in fact highlighted potential risks both at the epistemological and ethical level, we will try to suggest the main limitations of an intensive application of machine learning to decision making. Our discussion we will make direct reference to Satosi Watanabe, whose contribution spr…
Analyzing the changing landscape of the Covid-19 vaccine debate on Twitter
The issue of vaccine hesitancy has posed a significant challenge during the Covid-19 pandemic, as it increases the risk of undermining public health interventions aimed at mitigating the spread of the virus. While the swift development of vaccines represents a remarkable scientific achievement, it has also contributed to skepticism and apprehension among some populations. Against this backdrop, the suspension of the AstraZeneca vaccine by the Eur…
Machine learning in decisional process
In this paper we would like to undertake a critical examination of machine learning in the context of data revolution. Starting from the existing literature, which has in fact highlighted potential risks both at the epistemological and ethical level, we will try to suggest the main limitations of an intensive application of machine learning to decision making. Our discussion we will make direct reference to Satosi Watanabe, whose contribution spr…
On social machines for algorithmic regulation
Autonomous mechanisms have been proposed to regulate certain aspects of society and are already being used to regulate business organisations. We take seriously recent proposals for algorithmic regulation of society, and we identify the existing technologies that can be used to implement them, most of them originally introduced in business contexts. We build on the notion of ‘social machine’ and we connect it to various ongoing trends and ideas, …
Non-empirical problems in fair machine learning
The problem of fair machine learning has drawn much attention over the last few years and the bulk of offered solutions are, in principle, empirical. However, algorithmic fairness also raises important conceptual issues that would fail to be addressed if one relies entirely on empirical considerations. Herein, I will argue that the current debate has developed an empirical framework that has brought important contributions to the development of a…
The social turn of artificial intelligence
Social machines are systems formed by material and human elements interacting in a structured way. The use of digital platforms as mediators allows large numbers of humans to participate in such machines, which have interconnected AI and human components operating as a single system capable of highly sophisticated behaviour. Under certain conditions, such systems can be understood as autonomous goal-driven agents. Many popular online platforms ca…
Investing in AI for social good
Artificial Intelligence (AI) has become a driving force in modern research, industry and public administration and the European Union (EU) is embracing this technology with a view to creating societal, as well as economic, value. This effort has been shared by EU Member States which were all encouraged to develop their own national AI strategies outlining policies and investment levels. This study focuses on how EU Member States are approaching t…
Analyzing the changing landscape of the Covid-19 vaccine debate on Twitter
The issue of vaccine hesitancy has posed a significant challenge during the Covid-19 pandemic, as it increases the risk of undermining public health interventions aimed at mitigating the spread of the virus. While the swift development of vaccines represents a remarkable scientific achievement, it has also contributed to skepticism and apprehension among some populations. Against this backdrop, the suspension of the AstraZeneca vaccine by the Eur…
On prediction-modelers and decision-makers
An implicit ambiguity in the field of prediction-based decision-making concerns the relation between the concepts of prediction and decision. Much of the literature in the field tends to blur the boundaries between the two concepts and often simply refers to ‘fair prediction’. In this paper, we point out that a differentiation of these concepts is helpful when trying to implement algorithmic fairness. Even if fairness properties are related to th…
European reactions to AI in full and flawed democracies
This study examines the key factors that affect Europeans’ reactions to artificial intelligence (AI) in the context of both full and flawed democracies in Europe. AI applications have increasingly been integrated into democratic practices, ranging from micro-targeting of voters to election information campaigns and protests, as well as various administrative functions and services provided by governments. However, the impact of AI on democracy an…
Ethics and Social Impacts of AI (7 works) · Computer Science (6 works) · Artificial Intelligence (5 works) · Epistemology (4 works) · Political science (4 works) · Sociology (4 works) · Explainable Artificial Intelligence (XAI (3 works) · Law (3 works) · Psychology (3 works) · Apprehension (2 works)