Introduction to AI Governance

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Paweł Skorupiński

Presentation by Pawel Skorupinski given at Futurists Society of Barcelona in December 2017

Introduction to
AI Governance

Open Letter on Artificial Intelligence
2
When: December 2016
Who: Elon Musk, Stephen Hawking, and > 1’000 AI Researchers

Open Letter on Artificial Intelligence
3
When: December 2016
Who: Elon Musk, Stephen Hawking, and > 1’000 AI Researchers

Experiments on Unaware Humans
4
When: early 2014

Something is going
terribly wrong...
5

Ethically Aligned Design
When: December 2016
Who: IEEE Global Initiative for Ethical Considerations in
Artificial Intelligence (AI) and Autonomous Systems (AS) (IEEE is
the world's largest association of technical professionals with
more than 420,000 members)
6

Ethically Aligned Design
“A Vision for Prioritizing Human Wellbeing with
Artificial Intelligence and Autonomous Systems”
Mission: Ensure every technologist is educated,
trained, and empowered to prioritize ethical
considerations in the design and development.
7

Asilomar AI Principles
When: January 2017
Who: Stephen Hawking, Elon Musk, executives of: DeepMind, OpenAI, Facebook, Montreal Institute for
Learning Algorithms, Center for Intelligent Systems, Google, Google Brain project, Apple, IBM, ...
8

Asilomar AI Principles
23 Principles for AI Development:
(1) Research Goal: The goal of AI research should be to create not undirected
intelligence, but beneficial intelligence.
9
Prof. Stuart Russell

Asilomar AI Principles
23 Principles for AI Development:
(19)Capability Caution: There being no consensus, we should avoid strong
assumptions regarding upper limits on future AI capabilities.
10
“In many areas of computer science, such as complexity or cryptography, the
default assumption is that we deal with the worst case scenario. Similarly, in AI
Safety, we should assume that AI will become maximally capable and prepare
accordingly. If we are wrong, we will still be great shape.”
- Roman Yampolskiy, Professor at the University of Louisville,
founding director of the Cyber Security Lab

Four ethical priorities for neurotechnologies & AI
When: November 2017
Who: Global team of researchers and executives in fields of biology, physiology, neuroscience, and
technology
4 Priorities:
(1) Privacy and consent;
(2) Agency and identity;
(3) Augmentation;
(4) Bias.
11
Restrict centralized
processing!
Educate on impact of
tech on identity!
Design solutions for
the global community!

General Data Protection Regulation
When: April 2016, implementation in May 2018
Who: Institutions of European Union
12
Every person who either resides in EU or uses
services registered in EU gets ownership of
their digital data.

General Data Protection Regulation
13

A Global Civic Debate on AI Governance
14
“Laws may not move the heart, but they restrain the heartless.”
- Martin Luther King
What Futures do we imagine? Which Future is worth working on?
- We all can take part in a global debate!

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Essentials of Automations: Optimizing FME Workflows with Parameters

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Here is something new! In our next Connector Corner webinar, we will demonstrate how you can use a single workflow to: Create a campaign using Mailchimp with merge tags/fields Send an interactive Slack channel message (using buttons) Have the message received by managers and peers along with a test email for review But there’s more: In a second workflow supporting the same use case, you’ll see: Your campaign sent to target colleagues for approval If the “Approve” button is clicked, a Jira/Zendesk ticket is created for the marketing design team But—if the “Reject” button is pushed, colleagues will be alerted via Slack message Join us to learn more about this new, human-in-the-loop capability, brought to you by Integration Service connectors. And... Speakers: Akshay Agnihotri, Product Manager Charlie Greenberg, Host

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Connector Corner: Automate dynamic content and events by pushing a button

Connector Corner: Automate dynamic content and events by pushing a button

I have heard many times that architecture is not important for the front-end. Also, many times I have seen how developers implement features on the front-end just following the standard rules for a framework and think that this is enough to successfully launch the project, and then the project fails. How to prevent this and what approach to choose? I have launched dozens of complex projects and during the talk we will analyze which approaches have worked for me and which have not.

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Screen flow is a powerful automation tool that is commonly designed for internal and external users. However, what about the guest users? We will dive into various methods of launching screen flows and understand how to make them publicly accessible, extending their usability to a broader audience. The presentation will also cover the implementation of security layers and highlight best practices for a smooth and protected user experience. Discover the potential of screen flows beyond conventional use and learn how to leverage them effectively.

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In this insightful webinar, Inflectra explores how artificial intelligence (AI) is transforming software development and testing. Discover how AI-powered tools are revolutionizing every stage of the software development lifecycle (SDLC), from design and prototyping to testing, deployment, and monitoring. Learn about: • The Future of Testing: How AI is shifting testing towards verification, analysis, and higher-level skills, while reducing repetitive tasks. • Test Automation: How AI-powered test case generation, optimization, and self-healing tests are making testing more efficient and effective. • Visual Testing: Explore the emerging capabilities of AI in visual testing and how it's set to revolutionize UI verification. • Inflectra's AI Solutions: See demonstrations of Inflectra's cutting-edge AI tools like the ChatGPT plugin and Azure Open AI platform, designed to streamline your testing process. Whether you're a developer, tester, or QA professional, this webinar will give you valuable insights into how AI is shaping the future of software delivery.

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Introduction to AI Governance

1. Introduction to AI Governance

2. Open Letter on Artificial Intelligence 2 When: December 2016 Who: Elon Musk, Stephen Hawking, and > 1’000 AI Researchers

3. Open Letter on Artificial Intelligence 3 When: December 2016 Who: Elon Musk, Stephen Hawking, and > 1’000 AI Researchers

4. Experiments on Unaware Humans 4 When: early 2014

5. Something is going terribly wrong... 5

6. Ethically Aligned Design When: December 2016 Who: IEEE Global Initiative for Ethical Considerations in Artificial Intelligence (AI) and Autonomous Systems (AS) (IEEE is the world's largest association of technical professionals with more than 420,000 members) 6

7. Ethically Aligned Design “A Vision for Prioritizing Human Wellbeing with Artificial Intelligence and Autonomous Systems” Mission: Ensure every technologist is educated, trained, and empowered to prioritize ethical considerations in the design and development. 7

8. Asilomar AI Principles When: January 2017 Who: Stephen Hawking, Elon Musk, executives of: DeepMind, OpenAI, Facebook, Montreal Institute for Learning Algorithms, Center for Intelligent Systems, Google, Google Brain project, Apple, IBM, ... 8

9. Asilomar AI Principles 23 Principles for AI Development: (1) Research Goal: The goal of AI research should be to create not undirected intelligence, but beneficial intelligence. 9 Prof. Stuart Russell

10. Asilomar AI Principles 23 Principles for AI Development: (19)Capability Caution: There being no consensus, we should avoid strong assumptions regarding upper limits on future AI capabilities. 10 “In many areas of computer science, such as complexity or cryptography, the default assumption is that we deal with the worst case scenario. Similarly, in AI Safety, we should assume that AI will become maximally capable and prepare accordingly. If we are wrong, we will still be great shape.” - Roman Yampolskiy, Professor at the University of Louisville, founding director of the Cyber Security Lab

11. Four ethical priorities for neurotechnologies & AI When: November 2017 Who: Global team of researchers and executives in fields of biology, physiology, neuroscience, and technology 4 Priorities: (1) Privacy and consent; (2) Agency and identity; (3) Augmentation; (4) Bias. 11 Restrict centralized processing! Educate on impact of tech on identity! Design solutions for the global community!

12. General Data Protection Regulation When: April 2016, implementation in May 2018 Who: Institutions of European Union 12 Every person who either resides in EU or uses services registered in EU gets ownership of their digital data.

13. General Data Protection Regulation 13

14. A Global Civic Debate on AI Governance 14 “Laws may not move the heart, but they restrain the heartless.” - Martin Luther King What Futures do we imagine? Which Future is worth working on? - We all can take part in a global debate!