Events

The Montreal AI Ethics Institute is partnering with AI Policy Labs for a discussion on AI and the environment.

The discussion will span across how AI is being leveraged for a greener future. With the computational power required, such technology has the possibility to harm the environment, while also holding the key to innovation. Discussions surrounding this paradox through an environmental lens will be the mainstay of this meetup.

Our events use a flipped classroom model:

Artificial Intelligence and Climate Change: Opportunities, Considerations and Policy Levers to align with Climate Change Goals

https://us.boell.org/sites/default/files/2020-12/Artificial%20Intelligence%20and%20Climate%20Change_FINAL.pdf

 Artificial Intelligence and Climate Change: Supplementary Impact Report 

https://www.oxfordfoundry.ox.ac.uk/sites/default/files/learning-guide/2019-11/Artificial%20Intelligence%20%26%20Climate%20Change_%20Supplementary%20Impact%20Report.pdf

If you have questions or suggestions, please email: 

Preserving the Ecosystem: AI, Data and Algorithms

The Montreal AI Ethics Institute is partnering with 

 to host a discussion about the different challenges that national contexts can present when trying to implement AI ethics. For example, different cultural views, differing levels of AI literacy and differing levels of resources available to dedicate to such implementation.

: All our events are free. If you want to support our mission of democratizing AI ethics literacy by helping keep our events accessible to everyone, please 

The Challenges of AI Ethics in Different National Contexts

The Montreal AI Ethics Institute is partnering with Salesforce to host a discussion about conversational ethics and design.

Conversational AI enables people to communicate via text or voice with automated systems like smart speakers, virtual assistants, and chatbots. Leveraging Automatic Speech Recognition (ASR) and Natural Language Processing (NLP), these systems can recognize speech, understand context, remember previous dialogue, access external knowledge, and generate text or speech responses. 

However, conversational AI may not work equally well for everyone, and may even cause harm due to known or unknown bias and toxicity. Additionally, generating “personalities” for bots or virtual assistants creates risks of appearing inauthentic, manipulative, or offensive. In this workshop, we will discuss the issues of bias, harm, and trust where bots, language, and AI intersect.

Connor Wright

Events