Marianna Bergamaschi Ganapini

According to our database, Marianna Bergamaschi Ganapini authored at least 16 papers between 2020 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

An Audit Framework for Adopting AI-Nudging on Children.

Marianna Bergamaschi Ganapini, Enrico Panai

CoRR, 2023

Fast and Slow Planning.

Francesco Fabiano, Vishal Pallagani, Marianna Bergamaschi Ganapini, Lior Horesh, Andrea Loreggia, Keerthiram Murugesan, Francesca Rossi, Biplav Srivastava

CoRR, 2023

Value-based Fast and Slow AI Nudging.

Marianna Bergamaschi Ganapini, Francesco Fabiano, Lior Horesh, Andrea Loreggia, Nicholas Mattei, Keerthiram Murugesan, Vishal Pallagani, Francesca Rossi, Biplav Srivastava, Kristen Brent Venable

Proceedings of the Workshop on Ethics and Trust in Human-AI Collaboration: Socio-Technical Approaches (ETHAICS 2023) co-located with 32nd International Joint Conference on Artificial Intelligence (IJCAI 2023) Macao, 2023

2022

State of AI Ethics Report (Volume 6, February 2022).

Abhishek Gupta, Connor Wright, Marianna Bergamaschi Ganapini, Masa Sweidan, Renjie Butalid

CoRR, 2022

Combining Fast and Slow Thinking for Human-like and Efficient Navigation in Constrained Environments.

Marianna Bergamaschi Ganapini, Murray Campbell, Francesco Fabiano, Lior Horesh, Jon Lenchner, Andrea Loreggia, Nicholas Mattei, Taher Rahgooy, Francesca Rossi, Biplav Srivastava, Kristen Brent Venable

CoRR, 2022

Combining Fast and Slow Thinking for Human-like and Efficient Decisions in Constrained Environments.

Marianna Bergamaschi Ganapini, Murray Campbell, Francesco Fabiano, Lior Horesh, Jonathan Lenchner, Andrea Loreggia, Nicholas Mattei, Francesca Rossi, Biplav Srivastava, Kristen Brent Venable

Proceedings of the 16th International Workshop on Neural-Symbolic Learning and Reasoning as part of the 2nd International Joint Conference on Learning & Reasoning (IJCLR 2022), 2022

Thinking Fast and Slow in AI: The Role of Metacognition.

Marianna Bergamaschi Ganapini, Murray Campbell, Francesco Fabiano, Lior Horesh, Jon Lenchner, Andrea Loreggia, Nicholas Mattei, Francesca Rossi, Biplav Srivastava, Kristen Brent Venable

Proceedings of the Machine Learning, Optimization, and Data Science, 2022

2021

The State of AI Ethics Report (Volume 5).

Abhishek Gupta, Connor Wright, Marianna Bergamaschi Ganapini, Masa Sweidan, Renjie Butalid

CoRR, 2021

E-PDDL: A Standardized Way of Defining Epistemic Planning Problems.

Francesco Fabiano, Biplav Srivastava, Jonathan Lenchner, Lior Horesh, Francesca Rossi, Marianna Bergamaschi Ganapini

CoRR, 2021

The State of AI Ethics Report (Volume 4).

Abhishek Gupta, Alexandrine Royer, Connor Wright, Victoria Heath, Muriam Fancy, Marianna Bergamaschi Ganapini, Shannon Egan, Masa Sweidan, Mo Akif, Renjie Butalid

CoRR, 2021

The State of AI Ethics Report (January 2021).

Abhishek Gupta, Alexandrine Royer, Connor Wright, Falaah Arif Khan, Victoria Heath, Erick Galinkin, Ryan Khurana, Marianna Bergamaschi Ganapini, Muriam Fancy, Masa Sweidan, Mo Akif, Renjie Butalid

CoRR, 2021

Combining Fast and Slow Thinking for Human-like and Efficient Navigation in Constrained Environments.

Marianna Bergamaschi Ganapini, Murray Campbell, Francesco Fabiano, Lior Horesh, Jonathan Lenchner, Andrea Loreggia, Nicholas Mattei, Francesca Rossi, Biplav Srivastava, Kristen Brent Venable

Proceedings of the Thinking Fast and Slow and Other Cognitive Theories in AI, 2021

Epistemic Planning in a Fast and Slow Setting.

Francesco Fabiano, Marianna Bergamaschi Ganapini, Lior Horesh, Andrea Loreggia, Keerthiram Murugesan, Vishal Pallagani, Francesca Rossi, Biplav Srivastava

Proceedings of the Thinking Fast and Slow and Other Cognitive Theories in AI, 2021

2020

The State of AI Ethics Report (October 2020).

Abhishek Gupta, Alexandrine Royer, Victoria Heath, Connor Wright, Camylle Lanteigne, Allison Cohen, Marianna Bergamaschi Ganapini, Muriam Fancy, Erick Galinkin, Ryan Khurana, Mo Akif, Renjie Butalid, Falaah Arif Khan, Masa Sweidan, Audrey Balogh

CoRR, 2020

Response by the Montreal AI Ethics Institute to the Santa Clara Principles on Transparency and Accountability in Online Content Moderation.

Marianna Bergamaschi Ganapini, Camylle Lanteigne, Abhishek Gupta

CoRR, 2020

The State of AI Ethics Report (June 2020).

Abhishek Gupta, Camylle Lanteigne, Victoria Heath, Marianna Bergamaschi Ganapini, Erick Galinkin, Allison Cohen, Tania De Gasperis, Mo Akif, Renjie Butalid

CoRR, 2020