activity
20132023
most citedGuiding Pretraining in Reinforcement Learning with Large Language Models

39 citations · 117 across the 43 of their papers we have counts for

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Showing cs.CYShow all

11 papers · 1 filter

cs.CY2023

Augmented Collective Intelligence in Collaborative Ideation: Agenda and Challenges

Emily Dardaman, Abhishek Gupta

AI systems may be better thought of as peers than as tools. This paper explores applications of augmented collective intelligence (ACI) beneficial to collaborative ideation. Design…

cs.CY2023

Asking Better Questions -- The Art and Science of Forecasting: A mechanism for truer answers to high-stakes questions

Emily Dardaman, Abhishek Gupta

Without the ability to estimate and benchmark AI capability advancements, organizations are left to respond to each change reactively, impeding their ability to build viable mid an…

cs.CY2022★ 3 cited

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…

cs.CY2021

The Co-Designed Post-Pandemic University: A Participatory and Continual Learning Approach for the Future of Work

Abhishek Gupta, Connor Wright

The pandemic has shattered the traditional enclosures of learning. The post-pandemic university (PPU) will no longer be contained within the 4 walls of a lecture theatre, and finis…

cs.CY2021

Making Responsible AI the Norm rather than the Exception

Abhishek Gupta

This report prepared by the Montreal AI Ethics Institute provides recommendations in response to the National Security Commission on Artificial Intelligence (NSCAI) Key Considerati…

cs.CY2020

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…

cs.CY2020★ 3 cited

Report prepared by the Montreal AI Ethics Institute (MAIEI) on Publication Norms for Responsible AI

Abhishek Gupta, Camylle Lanteigne, Victoria Heath

The history of science and technology shows that seemingly innocuous developments in scientific theories and research have enabled real-world applications with significant negative…

cs.CY2020★ 3 cited

Comprehensiveness of Archives: A Modern AI-enabled Approach to Build Comprehensive Shared Cultural Heritage

Abhishek Gupta, Nikitasha Kapoor

Archives play a crucial role in the construction and advancement of society. Humans place a great deal of trust in archives and depend on them to craft public policies and to prese…

cs.CY2020★ 1 cited

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…

cs.CY2020★ 1 cited

Response by the Montreal AI Ethics Institute to the European Commission's Whitepaper on AI

Abhishek Gupta, Camylle Lanteigne

In February 2020, the European Commission (EC) published a white paper entitled, On Artificial Intelligence - A European approach to excellence and trust. This paper outlines the E…

cs.CY2020★ 1 cited

Montreal AI Ethics Institute's Response to Scotland's AI Strategy

Abhishek Gupta

In January and February 2020, the Scottish Government released two documents for review by the public regarding their artificial intelligence (AI) strategy. The Montreal AI Ethics…