3 citations · 16 across the 12 of their papers we have counts for
13 papers
Before You Think: System 0, AI-Mediated Cognition and Cognitive Colonization
Marianna Bergamaschi Ganapini, Massimo Chiriatti, Enrico Panai +1
This paper examines three recent frameworks for understanding the cognitive and epistemic consequences of artificial intelligence: Tri-System Theory, Thinkframes, and System 0. It…
Value-based Fast and Slow AI Nudging
Marianna B. Ganapini, Francesco Fabiano, Lior Horesh +7
Nudging is a behavioral strategy aimed at influencing people's thoughts and actions. Nudging techniques can be found in many situations in our daily lives, and these nudging techni…
Beyond Harm: an Ethical Framework to Tackle Misinformation on Social Media
Marianna Ganapini
This paper aims to build an actionable framework for permissible online content moderation to combat misinformation. Often strong content moderation policies are invoked when misin…
An Audit Framework for Adopting AI-Nudging on Children
Marianna Ganapini, Enrico Panai
This is an audit framework for AI-nudging. Unlike the static form of nudging usually discussed in the literature, we focus here on a type of nudging that uses large amounts of data…
Fast and Slow Planning
Francesco Fabiano, Vishal Pallagani, Marianna Bergamaschi Ganapini +5
The concept of Artificial Intelligence has gained a lot of attention over the last decade. In particular, AI-based tools have been employed in several scenarios and are, by now, pe…
State of AI Ethics Report (Volume 6, February 2022)
Abhishek Gupta, Connor Wright, Marianna Bergamaschi Ganapini +2
This report from the Montreal AI Ethics Institute (MAIEI) covers the most salient progress in research and reporting over the second half of 2021 in the field of AI ethics. Particu…
Combining Fast and Slow Thinking for Human-like and Efficient Navigation in Constrained Environments
Marianna B. Ganapini, Murray Campbell, Francesco Fabiano +8
Current AI systems lack several important human capabilities, such as adaptability, generalizability, self-control, consistency, common sense, and causal reasoning. We believe that…
Thinking Fast and Slow in AI: the Role of Metacognition
Marianna Bergamaschi Ganapini, Murray Campbell, Francesco Fabiano +7
AI systems have seen dramatic advancement in recent years, bringing many applications that pervade our everyday life. However, we are still mostly seeing instances of narrow AI: ma…
The State of AI Ethics Report (Volume 5)
Abhishek Gupta, Connor Wright, Marianna Bergamaschi Ganapini +2
This report from the Montreal AI Ethics Institute covers the most salient progress in research and reporting over the second quarter of 2021 in the field of AI ethics with a specia…
E-PDDL: A Standardized Way of Defining Epistemic Planning Problems
Francesco Fabiano, Biplav Srivastava, Jonathan Lenchner +3
Epistemic Planning (EP) refers to an automated planning setting where the agent reasons in the space of knowledge states and tries to find a plan to reach a desirable state from th…
The State of AI Ethics Report (January 2021)
Abhishek Gupta, Alexandrine Royer, Connor Wright +9
The 3rd edition of the Montreal AI Ethics Institute's The State of AI Ethics captures the most relevant developments in AI Ethics since October 2020. It aims to help anyone, from m…
The State of AI Ethics Report (October 2020)
Abhishek Gupta, Alexandrine Royer, Victoria Heath +12
The 2nd edition of the Montreal AI Ethics Institute's The State of AI Ethics captures the most relevant developments in the field of AI Ethics since July 2020. This report aims to…
The State of AI Ethics Report (June 2020)
Abhishek Gupta, Camylle Lanteigne, Victoria Heath +6
These past few months have been especially challenging, and the deployment of technology in ways hitherto untested at an unrivalled pace has left the internet and technology watche…