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EXPLO Pre-College + Career  |  Colby College Artificial Intelligence + Machine Learning

Engage with the social, political, and scientific implications of the most important technological advance of our lifetimes.

Academics Artificial Intelligence + Machine Learning

About this Concentration

Campus: Colby College Grades: 10-12

Artificial intelligence and machine learning are the dawning of a new era in human history. These technologies will harness our mental and cognitive abilities to a degree not seen since the technological advances of the industrial revolution helped us harness our physical abilities. The impact will be felt in nearly every industry and facet of life. From bio-technology and medicine to climate change and the future of democracy, when machines improve their function without us needing to do it for them, we unlock insights about our world that we simply cannot access today. While dystopian scenarios like the ‘robots taking over’ may spring to mind, the reality is: how this civilization-altering technology unfolds is well within our hands and is being shaped by the ethical and technological decisions we make today. In this concentration, you’ll be faced with many of these important decisions through debates and discussions, simulations, case studies and coding challenges and projects. Connect with the data scientists, researchers, and business leaders who are navigating the impacts of AI now. And, consider issues of privacy, security, bias, equity, and more as you design and implement your own machine learning process.

EXPLO Artificial Intelligence + Machine Learning relies on a basic understanding of the programming language Python. For students unfamiliar with it, we strongly recommend Codecademy’s Python 3 course (the first 7-10 hours; functions, control flow, lists, and loops) or the book Python Crash Course by Eric Matthes.

College credit available through Sarah Lawrence College. Learn more.

Highlights

  • Bias in AI

    Analyze AI-software such as the facial recognition or voice automation built into many smartphones and investigate if its functionality is compromised due to bias in the underlying dataset it’s built on.

  • Deep Fakes

    A video surfaces of a foreign nation-state leader pledging an immediate nuclear attack on US soil. Within minutes it’s gone viral and the U.S. military mobilizes. Later the video is debunked by leading AI-scientists as a deep fake. Learn to identity and combat these deep fakes as they become increasingly sophisticated, prevalent and dangerous.

  • Covid-19 Vaccine Case Study

    Discover how some of the world’s best minds harnessed the power of artificial intelligence to develop a COVID-19 vaccine on an unprecedented timescale, and what some of those same scientists now say about future applications of the technology for other long-standing biomedical challenges.

  • Machine Learning Project

    Write machine learning code that produces insightful results from a large dataset. To ensure its reliability and security, get personalized feedback from our partners at Rapid7, a leading security firm that uses AI and machine learning technology.

Concentration Details

Sessions:

  • Session 2: July 11 - July 23, 2021

Tuition: $5,875

Required Materials:

  • EXPLO Pre-College + Career students are required to bring a laptop, computer, tablet, or Chromebook to the program. All devices must be able to access the Internet and utilize basic word processing and presentation-type programs (PowerPoint, Keynote, etc.) Rentals are available after enrollment in the program. Please contact the Admission Team for more information.
  • EXPLO Artificial Intelligence + Machine Learning relies on a basic understanding of the programming language Python. For students unfamiliar with it, we strongly recommend Codecademy’s Python 3 course (the first 7-10 hours; functions, control flow, lists, and loops) or the book Python Crash Course by Eric Matthes.
It’s easy to get lost in the long list of algorithms, platforms, and tools relevant to AI. But the best way to get a flavor of what applying data science in practice looks like, is to try it out with a project. It’s more than just working through a math problem. A project gives students a chance to explore data, try out different analyses, and ask questions of the problem.

EXPLO Advisor, Vasudha Shivamoggi

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