Towards a design for an inclusive conversational agent adapted to autism and language difficulties

This project aims at developing a conversational agent for autistic people and their families, based on highly accurate training datasets while deploying Natural Language Processing (NLP) and Deep Learning (DL) techniques. This project will help promote inclusion and diversity into AI design by using the right data to train the conversational agent system to be inclusive, while taking into consideration gender roles, age, diversity and social and ethical problems. This could eventually result in a more diverse and inclusive world.

Faculty Supervisor:

Janosch Ortmann;Fatiha Sadat

Student:

Partner:

Videns Analytics

Discipline:

Computer science

Sector:

Information and cultural industries; Professional, scientific and technical services

University:

Université du Québec à Montréal

Program:

Accelerate

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