Responsible AI for Mental Health

Overview

Embark on an educational journey to unlock the potential of AI in mental health care while addressing the ethical dilemmas that are pivotal to the field today. This course offers an in-depth exploration of pressing issues like bias, misinformation, privacy, and patient safety as they relate to AI's integration into mental health.

Dive into the latest advancements in computing and social robotics, and engage with both basic and advanced NLP techniques tailored for mental health analysis.

Examine emerging trends that are reshaping therapy, diagnostics, and patient support, all while considering the dual nature of AI as both a powerful tool and a possible risk within mental health settings.

Targeted at mental health professionals, policymakers, and tech leaders, this course empowers participants to develop responsible AI frameworks that prioritize fairness, transparency, and safety. Whether you aim to influence policy, incorporate AI into healthcare systems, or gain an understanding of the future landscape of mental health technology, this course equips you with the expertise needed to drive meaningful change.

Join us at Northeastern University through Coursera to take the lead in crafting ethical, effective, and human-centered AI solutions for mental health.

Subjects