Explore a keynote address from EuroPython 2020 that delves into responsible software development practices. Gain insights on the increasing role of software in critical infrastructure, professional responsibility in coding, and the importance of an end-to-end approach. Learn about industry standards, open-source policies, and the challenges of implementing machine learning systems in production. Discover practical frameworks for responsible AI development, including bias evaluation processes and procurement strategies. Understand the significance of aligning on first principles and tackling software problems with a holistic perspective.
Meditations on First Deployment - A Practical Guide to Responsible Development
EuroPython Conference via YouTube
Overview
Syllabus
Intro
Hello, my name is Alejandro
Software is eating the world The future wonders of the world will be running Python
Critical infrastructure increasing depends on running software
Responsibility Infrastructure
Professional Responsibility
Going beyond the algorithms Large ethical challenges cannot fall on the shoulders of a single
End-to-end Approach
Terminology
Principles & Ethics Framework
Industry/Code Standards
Standardisation Bodies You can get involved in the design and development and use of standards
Open Source as Policy
Open Source Foundations You can get involved on the design and development and use of standards
Software's Massive Traction
Not all can be solved w code
E.g The Challenge of our Generation
Ensuring the right solution Before tackling a problem we should be able to identify how much of it is actually a software problem before actually writing code
Prod ML Systems are HARD
Principles for responsible Al
Procurement Framework
Alignment on first principles
Industry Framework Case Stua
Loan approval process
Traditional data science proces
It's a disaster
Bias Evaluation Process
Taking into account correlation
Meditations on First Deployment A Practical Guide to Responsible Development
Taught by
EuroPython Conference
