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Learning Machines: An Introduction to AI

An introductory course about Machine Learning, its applications, and ethical and societal impacts. The course leverages project based, hands-on learning, and plugged and unplugged activities.

DURATION: 4 days

No Pre-requisities
  • Introduction to Machine Learning
  • Types of Machine Learning: Supervised, Unsupervised and Semi-supervised. Discussing Algortihmic Bias
  • Deep Learning, Reinforcement Learning
  • Generative Modelling Techniques such as GANs
  • Ethics and Policy

Artificial Intelligence and Creativity

Machine learning (ML) is transforming our reality. Today’s models deeply learn about their input domains and reach beyond-human capabilities on a growing list of tasks. Beyond classification and decision making, can AI be creative?

DURATION: 3 days

No Pre-requisities
  • Introduction to Creative Machine Learning. How can machines help us create art?
  • Generative Modeling Techniques: Generative Adversarial Networks, Variational Auto-Encoders, Recurrent Neural Networks
  • Human AI collaboration for creative development
  • Ethics, Misinformation and Deepfakes

Human-AI Decision Systems

Learn how to create high performance human-AI decision systems

DURATION: 2 days

No Pre-requisities
  • Integration of AI capabilities into the enterprise that optimizes trust and performance within the workforce.
  • Facilitating multi-domain operations though real-time creation of multi- domain “task teams” by dynamic management of information abstraction, teaming, and risk control.
  • Multi-level data security and multi- organization data sharing that will be a key enabler of AI-enhanced multi-domain operation in the future.

AI and Human Behavior

How artificial intelligent systems shape the people around them (and what to do about it)?

DURATION: 2 days

No Pre-requisities
  • AI in practice: strengths and limitations of the technology.
  • Issues and challenges in designing and integrating AI systems
  • Human-computer interaction
  • Ways to intentionally lean into, counteract, shift, or influence behavioral effects.
  • Ethical issues around influencing human behavior, and how to use AI for good.