M.I.T's College for Artificial Intelligence Educates the Future
Justin Lam — October 16, 2018 — Tech
References: nytimes
Artificial intelligence is already proving to be one of the most industry disrupting innovations and now M.I.T. is ready to educate for this future with a new College for Artificial Intelligence. Backed by $1 billion, this new college will "educate the bilinguals of the future," according to L. Rafael Reif, the president of M.I.T. The term bilinguals is used to describe people in subjects like biology, chemistry, politics, history and linguistics who also understand the techniques of modern computing. This is core to the College for Artifical Intelligence as it instructs on the subject in an interdisciplinary manner.
The College for Artifical Intelligence is also being established in the hope that it will alter traditional academic practices. Unlike other programs where machine learning or data science is taught in addition to a student's major, this new college will have AI education baked into the core curriculum.
Image Credit: CreditCreditCody O'Loughlin/The New York Times
The College for Artifical Intelligence is also being established in the hope that it will alter traditional academic practices. Unlike other programs where machine learning or data science is taught in addition to a student's major, this new college will have AI education baked into the core curriculum.
Image Credit: CreditCreditCody O'Loughlin/The New York Times
Trend Themes
1. Artificial Intelligence Education - Creating new programs that integrate artificial intelligence education into core curriculum disrupt traditional academic practices.
2. Interdisciplinary Learning - Instructing artificial intelligence in an interdisciplinary manner results in the development of 'bilinguals' who understand both their major subjects and modern computing techniques.
3. Industry Collaboration - Establishing a College for Artificial Intelligence encourages collaboration between industries such as biology, chemistry, politics, history, linguistics, and computing to drive innovation and disruptive advancements.
Industry Implications
1. Education - Artificial intelligence in education disrupts traditional academic practices and integrates AI education into core curriculum.
2. Technology - Integrating artificial intelligence into various industries such as biology, chemistry, politics, history, and linguistics leads to disruptive innovations in the field of technology.
3. Data Science - The intersection of artificial intelligence and data science opens up new disruptive opportunities in understanding and analyzing complex datasets.
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