AI & Governance Track

January 29th, 2020, 13:30 - 17:00

In this era of fast-paced technological developments the way policy frameworks evolve will be key in optimizing their impact on business & society. It is imperative that technologists, industry, social change drivers & policy makers work together to create policy solutions addressing societal needs.

 

During the Applied Machine Learning Days (AMLD) Conference organized by EPFL at Swiss Tech Convention Center in Lausanne, Switzerland, RegHorizon ran the track on AI & Governance on January 29, 2020.  The aim of this track was to explore policy frameworks in the area of Artificial Intelligence (AI), identify related business and societal concerns, and take a look at how technologies can be used to deliver better policy. The AI & Governance track included high-level experts from industry, academia, policy makers, innovators and civil society from Switzerland and abroad. View the full list of speakers below.

 

After successfully launching the debate on AI & Governance at EPFL’s AMLD, RegHorizon is now organising its AI Governance Conference on November 16 & 17, 2020. The conference will take a deeper dive into the issues and work on concrete governance solutions for AI.

Panel - Understanding societal and business concerns generated by the rapid development of AI technologies

13:30-15:00, January 29 @ 3BC

Panel Chair: Sanja Fabrio
Speakers: Stefan Ravizza, Ron Chrisley, Jesper Soederberg, Anna Jobin, Hugh Taylor & Charles Radclyffe

Interactive exchange featuring representatives from business, regulators and academia, this panel will aim to:

  • Take stock of global landscape of ethical guidelines and regulations.
  • Identify concerns the AI use is generating in society and highlight the need for responsible AI.
  • Discuss the challenges the business is facing when using AI and suggest areas for further policy development to protect competition, innovation and growth.

Furthermore, we will discuss questions such as:

  • How businesses can ensure ethics is addressed beyond window-dressing.
  • What role benchmarks and certifications may have in building trust in AI applications for both business and consumers.
  • How to build a trustworthy human-tech partnership.

The audience will have the opportunity to interact with the panel in a Q&A session.

Panel - Exploring the role of regulatory policy & possible ways forward

15:20-17:00, January 29 @ 3BC

Panel Chair: Ayisha Piotti
Speakers: Ambassador Thomas Schneider, Wayne Grixti, David Campos, Anna Wippel & Eva Thelisson

This dialogue between high-level policymakers & business representatives will:

  • highlight specific challenges from a governance perspective for developing a regulatory framework
    for AI.
  • show how these challenges are currently being tackled at a national & international level; and
  • explore what is the best way forward for AI policy to take into account societal concerns & yet allow innovation & competition to thrive.

We will also explore questions such as:

  • What role can policy frameworks play to instill trust in AI?
  • How can governance help companies to get predictability and manage reputational risks?
  • Is there a role for AI to deliver better governance?

The audience will have a chance to interact & provide input through a Q&A session.

Speakers

Meet Our Speakers

Ambassador Thomas Schneider

Ambassador Thomas Schneider

Head of International Relations Service and Vice-Director OFCOM, Swiss State Secretariat

Wayne Grixti

Wayne Grixti

CTO at Malta Digital Innovation Authority & Chairman of Malta.AI Taskforce

Anna Wippel

Anna Wippel

Cognitive Systems, IBM

Charles Radclyffe

Charles Radclyffe

Head of AI, Fidelity International

David Campos Pavon

David Campos Pavon

eBusiness, Digital and IT General Counsel and Group Data Privacy Officer, Nestle

Jesper Soederberg

Jesper Soederberg

Lead Producer, Creative Play Lab, LEGO System A/S

Anna Jobin

Anna Jobin

Researcher, Health Ethics & Policy Lab, ETH Zurich

Hugh Taylor

Hugh Taylor

External Affairs Director, United Kingdom Accreditation Service

Dr Ron Chrisley

Dr Ron Chrisley

Institute for Human-Centered AI at Stanford University

Dr. Stefan Ravizza

Dr. Stefan Ravizza

Swiss AI Lead, IBM

Eva Thélisson

Eva Thélisson

CEO, AI Transparency Institute

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