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About

There are very few places in the world like Montreal and McGill which have such a concentration of talent in the field of AI/ML. MAIS primarily serves to build a community with a shared passion for the field, spreading knowledge and resources to help aid people trying to enter the AI ecosystem. Our podcast aims to promote the research and share the experiences of people making remarkable contributions to the development of AI across disciplines, and to allow others to use that information to break into the field while being more aware of the challenges and opportunities. We hope to foster an accessible, holistic resource to understand how AI is evolving and continuously changing the world around us.

Vision and Goals

  • Build an accessible, holistic discussion platform and interdisciplinary community around AI.
  • Cover the current and future research, applications, and implications of AI.
  • Analyze the socioeconomic, geopolitical and ethical concerns of AI.
  • Destigmatize the field of AI and reduce the barriers to entry to all those interested/curious.

Meet The Hosts

Lynn Cherif

Lynn Cherif

Podcast Producer

Lynn is a fifth year Mechanical Engineering student doing a minor in Computer Science. She is currently completing her undergraduate thesis on leveraging CNNs to monitor and improve a metal 3D printing process. She is interested in AI4Good applications. In her free time, she’s a long-distance runner, cyclist and reader.

Jasper Jian

Jasper Jian

Podcast Producer

Jasper is a fourth year linguistics and computer science student interested in how theoretical linguistics can inform NLP and other language technologies. In his free time, he likes to ski, bike, and discover new foods.

Nathan De Lara

Nathan De Lara

Podcast Producer

Nathan is a third year Honours math and computer science student Interested in learning theory and generalizable AI. In his free time, he likes to play sports and create new sports analytics.

Samar-Balkiss Benaskeur

Samar-Balkiss Benaskeur

Podcast Media

Samar is a third year law student interested in the legal and ethical challenges of artificial intelligence. In her spare time, she enjoys cooking, dancing, and taking her cat for a walk in Côte-des-Neiges.

FAQ

What does the structure of an episode look like?

We will broadly be focusing on three ideas each episode:

  • Getting to know the guest, their background, and the history of the topics they are studying.
  • Looking at the theoretical concepts and frameworks the guest’s research uses and the problems their research is trying to solve.
  • Analyzing this information from an interdisciplinary lens and trying to understand the socio political and economical impact their research has, as well as the ethical considerations that have gone into their work.