This course, Ethics for Engineers: Artificial Intelligence, delves into the ethical considerations surrounding the rapid advancements in artificial intelligence (AI) and its core algorithmic decision-making processes. It addresses the complex ethical challenges that arise from the development and integration of AI technologies into society. The course examines the relationship between AI and human beings, highlighting new ethical dilemmas posed by these evolving technologies.
This course provides a focused exploration of ethical issues related to artificial intelligence, drawing from engineering, computer science, philosophy, and humanities perspectives. Learning resources include projects and written assignments.
Tuition and living cost information specific to this course is not provided. MIT graduate programs may offer financial support through research assistantships (RAs), teaching assistantships (TAs), or departmental fellowships. Details on specific funding for international students or general tuition fees are not available in the provided text.
This course explores the ethical considerations surrounding advancements in artificial intelligence (AI) and its algorithmic decision-making processes. It examines the complex ethical challenges and dilemmas posed by AI technologies as they are developed and integrated into society.
The application period is typically from October 1st to December 1st, with December 1st being the deadline for fullest consideration. Interview days are usually in February.
Applications are submitted online through the MIT graduate admissions portal. You will need to prepare transcripts, arrange for three letters of recommendation, write a statement of purpose, and submit English proficiency test scores if you are an international applicant.
Specific tuition and living cost information for this course is not provided. MIT graduate programs may offer financial support through assistantships or fellowships.
While specific outcomes are not detailed, the programme prepares students for roles requiring critical thinking about technology and its societal impact, equipping them to navigate the ethical landscape of AI development and deployment.
MIT graduate programs may offer funding through Departmental Fellowships, Research Assistantships (RAs), or Teaching Assistantships (TAs). Specific application processes and timelines vary for each type of award.