Measurementality Podcasts and Webinars
Defining What Counts in the Algorithmic Age

Measurementality is a new series of podcasts, webinars and reports created by the IEEE Standards Association (IEEE SA) in collaboration with The Radical AI Podcast focused on defining what counts in the Algorithmic Age.  Please view the Podcasts and Webinars below.

 

WEBINAR SERIES

Webinar #1:  Measurementality: Defining What Counts in the Algorithmic Age
Date: January 28th @ 12:00 PM ET - 1:00 PM ET
Join John C. Havens of the IEEE Standards Association as he interviews Jess and Dylan, the co-hosts of the popular podcast, Radical AI.  John, Jess and Dylan will be discussing the Measurementality content series, including topics such as: How is success measured today in the world of Artificial Intelligence Systems (AIS)? What is the positive future we’re working to build with AIS?  And, what are the measures of success for that future?  We'll also be discussing how the Measurementality series features a call to action for listeners and the AIS community at large to respond to these questions to contribute to two reports helping us define and frame 'what counts in the algorithmic age.'
View Webinar

Webinar #2:  Measurementality: Children's Data and Sustainability
Date: 25 February @ 12:00 PM ET - 1:00 PM ET
If we don't honor how we measure and protect children's data or take measures of the environment, we have no sustainable future.

Join host John C. Havens from IEEE SA as he interviews Sandy Pentland of MIT, Baroness Beeban Kidron of the 5Rights Foundation, and Branka Panic, Founder of AI for Peace in our latest installment of Measurementality.  Focusing on the key goal of our series, "defining what counts in the algorithmic age," guests will discuss issues like data privacy for children, data agency for all, and how metrics like the United Nations Sustainable Development Goals and other human rights oriented metrics are being utilized in the design of Artificial Intelligence Systems (AIS).
View Webinar

Webinar #3:  Measurementality: Counting Mental Health and Caregiving
Date:  25 March @ 12:00 PM ET - 1:00 PM ET
What metrics do you trust that guide your efforts to improve your mental health? And how do you value the caregivers in your lives?  How does the fact that caregiving metrics aren't a part of GDP/ economic Indicators affect how society and AI Systems design prioritize mental health and caregivers - or not?

Join host John C. Havens from IEEE SA as the Measurementality series continues to define "what counts in the algorithmic age" with guests including Dr. Riane Eisler, president of the Center for Partnership Studies (CPS) and author of The Real Wealth of Nations: Creating a Caring Economics, hailed by Archbishop Desmond Tutu as “a template for the better world we have been so urgently seeking”; Amandeep Gill, Director of the Global Health Centre project on International Digital Health & AI Research Collaborative (I-DAIR), and former Executive Director and co-Lead of the Secretariat of the UN Secretary General’s High-Level Panel on Digital Cooperation; and, Maria Palombini, Director, Emerging Communities & Opportunities Development, Healthcare & Life Sciences Practice Lead at IEEE SA.
View Webinar

Webinar #4:  Measurementality: What are We Optimizing For? 
Date:  29 April @ 12:00 PM ET - 1:00 PM ET
In this episode we'll be "identifying what counts in the algorithmic age" by analyzing how existing metrics regarding human wellbeing along with environmental flourishing are being globally measured today. 

While it's often assumed that human "wellbeing" refers to moods or emotions that can't be measured, the fields of positive psychology and happiness indicators provide multiple objective and subjective ways to measure long term human flourishing that can and should be utilized in the design of AI.   Likewise, environmental metrics that often are used solely as ways to minimize harms after a product or service are built are not keeping our planet from deterioration faster than we can address it via normal means of Corporate Social Responsibility (CSR) or Environmental, Social, and Governance (ESG) reporting.  So how can we better understand what we're optimizing for in the AI we create to include people and planet in design measures at the outset of everything we create?

Join Laura Musikanski, Executive Director of The Happiness Alliance and Chair of IEEE 7010-2020Jonathan Stray, former research partner at The Partnership on AI and author of Aligning AI to Human Values means Picking the Right MetricsMaike Luiken, Past President, IEEE Canada and the founding director of the Bluewater Technology Access Centre; and, Andre Uhl, Chair of The IEEE Earth Lab and Executive Member of The Council on Extended Intelligence on April 29th at noon Eastern to learn more.

Webinar #5:  Measurementality: Planning for The Planet 
Date:  27 May @ 12:00 PM ET - 1:00 PM ET
How can AIS design directly incorporate the environment to truly account for the planet? 

Webinar #6:  Measurementality: Designing for Trust and Agency for the End User
Date:  24 June @ 12:00 PM ET - 1:00 PM ET
How do you design AIS to honor trust and agency for multiple parts of the world? 

Webinar #7:  Measurementality: New Imaginiaries to Holistically Empower AIS Design
Date:  29 July @ 12:00 PM ET - 1:00 PM ET
How can we be honest about existing structures of power for AIS to account for a positive future with AIS design? 

Webinar #8:  Measurementality: Whose Ethics Are We Optimizing For? (Western, Eastern, Global)
Date:  26 August @ 12:00 PM ET - 1:00 PM ET
Ubuntu ethics and the Global South - how to incorporate global measures of AIS design for greater cooperation, collaboration, and social harmony.

Webinar #9:  Measurementality: AIS Governance and The Triple Bottom Line 
Date: 30 September @ 12:00 PM ET - 1:00 PM ET
Most AIS Governance conversations today frame every solution is either "innovation" or "regulation."  Triple bottom line (or Donught) economics and agile governance must move our current metrics of progress from exponential growth in isolation.  

Webinar #10:  Measurementality: Taking our Measure (Recap and Report) 
Date: 28 October @ 12:00 PM ET - 1:00 PM ET
Jess, Dylan and John C. Havens wrap up the series with updates on our report(s) and a recap on what can or should be the new "Measurementality" for AIS Design. 
 

PODCAST SERIES

iTunes | Spotify | iHeartRadio

Episode #1: Measurementality: Defining What Counts in the Algorithmic Age
Date: 14 February, 2021
Join John C. Havens of the IEEE Standards Association along with Jess and Dylan, the co-hosts of the popular podcast, Radical AI as they discuss the new Measurementality content series, including topics such as: How is success measured today in the world of Artificial Intelligence Systems (AIS)? What is the positive future we’re working to build with AIS? And, what are the measures of success for that future? We'll also be discussing how the Measurementality series features a call to action for listeners and the AIS community at large to respond to these questions to contribute to two reports helping us define and frame 'what counts in the algorithmic age.'

Episode #2:  Measurementality: Children's Data and Sustainability
Date:  22 March, 2021
Jess and Dylan from The Radical AI podcast interview Sandy Pentland of MIT and Baroness Beeban Kidron of the 5Rights Foundation in their latest installment of Measurementality.  Focusing on the key goal of our series, "defining what counts in the algorithmic age," Sandy and Beeban discuss issues including data privacy for children, data agency for all, and how metrics like the United Nations Sustainable Development Goals and other human rights oriented metrics are being utilized in the design of Artificial Intelligence Systems (AIS).

Episode #3:  Measurementality: Counting Mental Health and Caregiving
Join Jess and Dylan from The Radical AI podcast as the Measurementality series continues to define "what counts in the algorithmic age" with guests including Dr. Riane Eisler, president of the Center for Partnership Studies (CPS) and author of The Real Wealth of Nations: Creating a Caring Economics, hailed by Archbishop Desmond Tutu as “a template for the better world we have been so urgently seeking” and Amandeep Gill, Director of the Global Health Centre project on International Digital Health & AI Research Collaborative (I-DAIR), and former Executive Director and co-Lead of the Secretariat of the UN Secretary General’s High-Level Panel on Digital Cooperation.  Questions discussed on the show include, What metrics do you trust that guide your efforts to improve your mental health; How do you value the caregivers in your lives; and, how does the fact that caregiving metrics aren't a part of GDP/ economic Indicators affect how society and AI Systems design prioritize mental health and caregivers - or not?

Episode #4:  Measurementality: What are We Optimizing For? 
In this episode we'll be "identifying what counts in the algorithmic age" by analyzing how existing metrics regarding human wellbeing along with environmental flourishing are being globally measured today. 

While it's often assumed that human "wellbeing" refers to moods or emotions that can't be measured, the fields of positive psychology and happiness indicators provide multiple objective and subjective ways to measure long term human flourishing that can and should be utilized in the design of AI.   Likewise, environmental metrics that often are used solely as ways to minimize harms after a product or service are built are not keeping our planet from deterioration faster than we can address it via normal means of Corporate Social Responsibility (CSR) or Environmental, Social, and Governance (ESG) reporting.  So how can we better understand what we're optimizing for in the AI we create to include people and planet in design measures at the outset of everything we create?

Join Jess and Dylan, hosts of the Radical AI podcast as they interview Laura Musikanski, Executive Director of The Happiness Alliance and Chair of IEEE 7010-2020; and Jonathan Stray, former research partner at The Partnership on AI and author of Aligning AI to Human Values means Picking the Right Metrics to learn more.Understanding New Zealand's Wellbeing Budget and AIS alignment / How can we optimize for AIS in data science and wellbeing? 

Episode #5:  Measurementality: Planning for The Planet 
How can AIS design directly incorporate the environment to truly account for the planet? 

Episode #6:  Measurementality: Designing for Trust and Agency for the End User
How do you design AIS to honor trust and agency for multiple parts of the world? 

Episode #7:  Measurementality: New Imaginiaries to Holistically Empower AIS Design
How can we be honest about existing structures of power for AIS to account for a positive future with AIS design? 

Episode #8:  Measurementality: Whose Ethics Are We Optimizing For? (Western, Eastern, Global)
Ubuntu ethics and the Global South - how to incorporate global measures of AIS design for greater cooperation, collaboration, and social harmony.

Episode #9:  Measurementality: AIS Governance and The Triple Bottom Line 
Most AIS Governance conversations today frame every solution is either "innovation" or "regulation."  Triple bottom line (or Donught) economics and agile governance must move our current metrics of progress from exponential growth in isolation.  

Episode #10:  Measurementality: Taking our Measure (Recap and Report) 
Jess, Dylan and JCH wrap up the series with updates on our report(s) and a recap on what can or should be the new "Measurementality" for AIS Design.