YoVDO

Reasons, Values, Stakeholders - A Philosophical Framework for Explainable AI

Offered By: Association for Computing Machinery (ACM) via YouTube

Tags

ACM FAccT Conference Courses Critical Thinking Courses Ethical Reasoning Courses Stakeholder Analysis Courses AI Ethics Courses Explainable AI Courses AI Governance Courses

Course Description

Overview

Explore a philosophical framework for explainable AI in this 21-minute conference talk from the FAccT 2021 virtual event. Delve into the interconnected concepts of reasons, values, and stakeholders as presented by A. Kasirzadeh. Gain insights into how these elements form a crucial foundation for understanding and developing transparent artificial intelligence systems. Examine the ethical implications and practical considerations of implementing explainable AI across various domains. Discover how this framework can contribute to more responsible and accountable AI development, addressing concerns of diverse stakeholders in an increasingly AI-driven world.

Syllabus

Reasons, Values, Stakeholders: A Philosophical Framework for Explainable AI


Taught by

ACM FAccT Conference

Related Courses

Translation Tutorial - Thinking Through and Writing About Research Ethics Beyond "Broader Impact"
Association for Computing Machinery (ACM) via YouTube
Translation Tutorial - Data Externalities
Association for Computing Machinery (ACM) via YouTube
Translation Tutorial - Causal Fairness Analysis
Association for Computing Machinery (ACM) via YouTube
Implications Tutorial - Using Harms and Benefits to Ground Practical AI Fairness Assessments
Association for Computing Machinery (ACM) via YouTube
Responsible AI in Industry - Lessons Learned in Practice
Association for Computing Machinery (ACM) via YouTube