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on
1
Intro
2
Early, purposeful work
3
Start with a diverse team
4
Curiosity Experts
5
High value in diverse teams
6
Inclusive Workplace Requirements
7
Adopt Technology Ethics
8
Coalesce on Shared Set of Technology El
9
Conversations for Understanding
10
Prompt conversations with a checklist
11
UX Framework for Designing Trustworthy
12
RightStaff Scenario
13
Accountable to Humans
14
Ensure humans can unplug the machine
15
Significant decisions
16
Responsibilities explicitly defined
17
Cognizant of Speculative Risks and Benell
18
Speculative: Conduct UX research and activate curiosity
19
Potential Abusability of RightStaff
20
Speculative: Create communication & mitigation plans
21
Respectful and Secure
22
Fair: Remove unwanted bias in data
23
UX Framework: Being intentional, keeping people safe
24
Reward team members for finding ethics bugs
Description:
Explore the implementation of ethical principles in AI development through this 20-minute PyCon US talk. Learn how to translate abstract ethical concepts into practical guidelines for creating trustworthy AI systems. Discover a user experience (UX) framework that guides AI development teams in building accountable, de-risked, respectful, secure, honest, and usable systems. Delve into the importance of diverse teams, inclusive workplaces, and adopting technology ethics. Examine strategies for ensuring human control, defining responsibilities, and addressing speculative risks and benefits. Gain insights on removing unwanted bias, conducting UX research, and creating communication and mitigation plans for potential abuses. Understand the value of intentional design in keeping people safe and rewarding team members for identifying ethical issues in AI development.

Implementing Ethics - Developing Trustworthy AI

PyCon US
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