Artificial Intelligence: Ethics, Trust and Bias

  • Overview
  • Course Content
  • Requirements & Materials
Overview

Artificial Intelligence: Ethics, Trust and Bias

Course Description

This course will discuss concerns with developing Artificial Intelligence (AI) and the societal impacts faced while on the path to achieving true AI. The lectures will touch on the technical aspects of achieving trust in machines, developing tools to evaluate the ethical outcomes of algorithms, and minimizing human biases introduced into both algorithms and training data.

Course Content

THINKING ETHICALLY ABOUT AI

HOW TO ARGUE FOR AND AGAINST AN ETHICAL POSITION

DEFENSE: KILLER APPLICATIONS

DATA, INDIVIDUALS, AND SOCIETY

FAIRNESS IN AI

TRANSPARENCY AND TRUST IN AI

SMALL GROUP EXERCISE - DEBATES

Requirements & Materials

Materials

Provided

  • Notebooks
  • Course handouts and links

Who Should Attend

This course is designed for all acquisition and operational personnel that are responsible for procuring, implementing, testing, supporting, or using AI solutions provided by vendors or developed organically within the DoD.

What You Will Learn

  • Ethical foundations from which to make ethical decisions about AI
  • The tools for argumentation and how to frame the conversation about pros/cons on the use of AI
  • The impact AI has on individuals and society concerning issues such as fairness and bias, ethics, privacy, legality, data collection, and public use
  • Computational tools to evaluate AI techniques, focusing on instituting “fair” practices, and its social and legal context
  • Human-AI trust phenomena when using AI systems

How You Will Benefit

  • Understand the basis for evaluating AI applications from an ethical perspective.
  • Develop the ability to articulate and frame arguments for and against the use of certain AI-based technology.
  • Recognize the potential benefits and risks that AI in particular poses.
  • Learn about the issues of bias and trust in AI and how to mitigate its impact while maximizing its outcomes.
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  • Taught by Experts in the Field icon
    Taught by Experts in the Field

The course schedule was well-structured with a mix of lectures, class discussions, and hands-on exercises led by knowledgeable and engaging instructors.

- Abe Kani
President

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