Translation Tutorial - Engineering for Fairness - How a Firm Conceptual Distinction between Unfairness and Bias Makes it Easier to Address Un-Fairness

Explore a comprehensive tutorial from the FAT* 2019 conference that delves into the engineering aspects of fairness in technology. Learn how distinguishing between unfairness and bias can lead to more effective strategies for addressing fairness issues in product design. Discover the importance of viewing fairness as an organizational and social function rather than a purely mathematical concept. Examine real-life examples and hypothetical scenarios that illustrate how product design practices can benefit from value-driven decision processes. Gain insights into the "soft" aspects of engineering practice and their crucial role in designing for fairness and other ethical commitments. Investigate tools like IBM Fairness 360 and AI Launch Pad, and explore challenges such as the Parfit Theorem and ethical certification in the context of fair technology development.

Introduction
Goals
Algorithms as Business Decisions
Bias and Fairness
Bias Unfair
Bias Fairness
What is Fairness
IBM Fairness 360
Fairness 360 Screenshot
Similar Tools
AI Launch Pad
Common Elements
Examples
Allegheny Family Screening Tool
Automating Inequality
Challenges
Parfit Theorem
Ethical Certification
Questions