Foundation/AI

Overview

Mozilla has decided to focus on ‘better machine decision making’ as a theme and impact goal that will cut across our fellowships, campaigns and thought leadership work in the internet health movement over the coming years. As we say in our draft issue brief:

Mozilla wants to ensure AI serves humans rather than harms them. We're particularly interested in how automated decision making is becoming integral to large consumer tech platforms, from social networks to shopping sites to smart speakers. We want to make sure the interests of everyday users are designed into these platforms. Where they aren't, we want to call that out.

The aim is to have a thematic goal with a clear theory of change that Mozilla and its allies can go after in a distributed, decentralized manner -- but with markers and milestones that allow everyone to see progress. This goal will build on the personal data theme that Mozilla used in 2018. As with that theme, ~60% of Mozilla’s movement building program resources will go towards one goal over the next few years.

This wiki is meant to house Mozilla's up-to-date thinking and will be regularly updated. What follows is a list of the key documents that inform this thinking as well as the why, what and how of following through on it.

Project Management

These documents provide the underlying thinking about better machine decision making as a core issue and maps activities in 2019 that will track against this issue.

• Updated better machine decision making issue brief (February 2019)
• 2019 current and planned activities (February 2019)

<-- read these things first, they will give you the big picture view on our thinking and early work.

Related docs

• AI theme OKR Monthly Call Notes <- link as a sub page
• List of all MoFo 2019 OKRs
• 2019 OKR Spreadsheet <- describe in plain language

Upcoming Dates

TBD <-what is this for?

Active Projects

Some examples of activities in this space include:

• Literature review on better machine decision making (February 2019)
• ...
• ...

You can read more about these projects and more here.

Project Expo

To be developed in conjunction with our staff engagement plan.

Open Collaboration

More to come on this section in March

Media

As a part of this work, Mozilla has been sharing thinking as it develops -- through blogs and in the media. Others are invited to share their perspectives on this issue as well.

• Blog post: "Mozilla, AI & Internet Health, an update
• Orlando 2018 All Hands Talks: ‘better machine decision making'
• CNN Article: "How to keep AI from turning into the Terminator"
• Blog post: "Improving Internet Health: What (and How) Can We Win Together?"
• Initial Blog Post: "Slowing Down, Asking Questions, Looking Ahead"

Process

These documents are process based and help share the story of how Mozilla got to this goal and why.

• Impact goal summary (November 2018)
• Better machine decision making issue brief (November 2018) https://mzl.la/IssueBriefv01
• Existing MoFo Theory of Change (January 2018)

You can read more about the background for this project here.

Sub things might be: - how we got to this focus

Timeline

Q3 2018

• Draft 5-10 impact statements and criteria
• Staff input & additions to existing impact statements and criteria
• Strategy Retreat participants begin deeper analysis
• External partners provide additional ideas and input on impact goals

Q4 2018

• Draft short analysis for each impact goal
• MozFest session, displays, and meetings to solicit feedback and ideas from our community
• Review & discuss process and progress with MoFo board program committee
• Meet with additional internal/external partners and community members for feedback
• Exec team reviews final analyses; makes decision re: recommendation
• Discuss & get feedback during board meeting (Nov 15)
• Staff and fellows engage with impact goal at All Hands

Q1 2019

• Launch expert interviews
• Begin literature review
• Document existing & planned work around machine decision making
• Develop comms & engagement strategy for staff, partners, and public
• Complete literature review and identify gaps in understanding requiring additional research and/or commissioned reports
• Continue expert interviews
• Share updated issue summary, lit review and current/planned work with board
• Coding, analysis and synthesis of expert interviews
• Synthesize list of possible better machine decision making outcomes, based on interviews, literature reviews & convenings

Q2 2019

• Gather input and feedback with staff, experts, and allies around high-potential outcomes for Theory of Change
• Continue public and partner communication about process, learnings and opportunities to engage
• Finalize 1-3 long-term outcomes for machine decision making for the theory of change overlay
• Fully introduce impact goal theory of change overlay with staff at All Hands
• Begin to map out use for 2020 planning
• Share impact goal theory with board