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EN.601.486

Machine Learning: Artificial Intelligence System Design & Development

Johns Hopkins University 3 credits Computer Science

Course Description

Advances in Artificial intelligence have opened new opportunities for developing systems to aid in numerous areas of society. In order for AI systems to succeed in making constructive and positive changes, we must consider their impact on everyday life. Specifically, AI system designers must evaluate the overall capabilities of the system, consider the resulting human-AI interactions, and ensure that the system behaves in a responsible and ethical manner. In this project-based course you will work in teams of 3-5 students to 1) Identify a need with high-impact implications on everyday life; 2) Articulate principles of Responsible AI relevant to the intended application, 3) Conceptualize and design an AI system targeting this need, and 4) Develop the AI system by refining a demo-able prototype based on feedback received during course presentations. Additionally, we will discuss potential ethical issues that can arise in AI and how to develop Responsible AI principles. Coursework will consist of writing assignments, project presentations, and a project demonstration. Recommended background: Python programming, EN.601.290 or EN.601.454/654 or EN.601.490/690 or EN.601.491/691. The ePortfolio tag(s) on this course signify that there are one or more assignments offered in the course that provide students with the opportunity to be assessed for proficiency in completion of the relevant ePortfolio requirement(s). Prerequisite(s): (EN.601.475 OR EN.601.675) OR ( EN.601.464 OR EN.601.664) OR (EN.601.482 OR EN.601.682)

Code
EN.601.486
Credits
3
Subject
Computer Science

Programs That Include This Course

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