Healthcare Transformers – Artificial intelligence online live debate

18-NOV-2020 | 2pm EST - 11am PDT - 8pm CET

The superpower of artificial intelligence (AI) is fast, detailed and high-volume data analysis that has the potential to make high quality healthcare more accessible and affordable.

But, how will AI impact the human aspect of healthcare? Could AI eventually replace doctors? In this exciting live debate, AI experts Jim Stolze and Nell Watson will explore these questions and more.

Both experts are members of the AI faculty of the prestigious Singularity University in Silicon Valley.

Agenda

8:00pm | Welcome
Andreas Schneider, Roche host Jim Stolze, Tech-entrepreneur Nell Watson, AI expert 8:10pm | Start of debate

Jim's position: Who's afraid of Artificial Intelligence?
Nell's position: Humane Intelligent Healthcare

8:50pm | Q&A with the experts
9:00pm | Closing remarks

Register to receive the recording of the online debate

Complete this form to receive the recording of the AI debate. We will send it to you within the next 2 days.

Expert speakers

Jim Stolze
Read more

Jim Stolze

Jim Stolze is a tech-entrepreneur and a prominent figure in the European startup scene.
In 2009 he was approached by TED.com to become one of their twelve ambassadors worldwide. Between then and 2016 he was the driving force behind TEDxAmsterdam and many other TEDx events in Europe, the Middle East and even the Caribbean.
An alumnus from the prestigious Singularity University (California) Jim Stolze is a thoughtleader and changemaker in the field of exponential technologies.
Since 2017 Jim focuses on Artificial Intelligence (AI). With his platform Aigency he connects algorithms from PHD’s and startups to data-sets and challenges from big corporates. This initiatieve was labeled by the media as “the world’s first employment agency for artificial intelligence”.
Nell Watson Read more

Nell Watson

Eleanor ‘Nell’ Watson is a Machine Intelligence engineer who worked to pioneer Deep Machine Vision at her company QuantaCorp, which enables fast and accurate body measurement from just two photos.
In sharing her knowledge as AI Faculty at Singularity University and author of Machine Intelligence courseware for O’Reilly Media, she realised the importance of protecting human rights and putting ethics, safety, and the values of human spirit into A.I.
Nell serves as Chair & Vice-Chair respectively of the IEEE’s ECPAIS Transparency Experts Focus Group, and P7001 Transparency of Autonomous Systems committee on AI Ethics & Safety, engineering credit score-like mechanisms to safeguard algorithmic trust.

Your host

Andreas Schneider
Read more

Andreas Schneider

Senior Vice President / Global Head of Franchise Marketing Roche Diagnostics
Andreas has over 15 years of experience in various leadership roles within the Healthcare Industry after co-founding, managing and selling his own IT consultancy company.

Dr. Aernout Somsen
Read more

Jim Stolze

Jim Stolze is a tech-entrepreneur and a prominent figure in the European startup scene.
In 2009 he was approached by TED.com to become one of their twelve ambassadors worldwide. Between then and 2016 he was the driving force behind TEDxAmsterdam and many other TEDx events in Europe, the Middle East and even the Caribbean.
An alumnus from the prestigious Singularity University (California) Jim Stolze is a thoughtleader and changemaker in the field of exponential technologies.
Since 2017 Jim focuses on Artificial Intelligence (AI). With his platform Aigency he connects algorithms from PHD’s and startups to data-sets and challenges from big corporates. This initiatieve was labeled by the media as “the world’s first employment agency for artificial intelligence”.
Prof. dr. Fred van Eenennaam Read more

Nell Watson

Eleanor ‘Nell’ Watson is a Machine Intelligence engineer who worked to pioneer Deep Machine Vision at her company QuantaCorp, which enables fast and accurate body measurement from just two photos.
In sharing her knowledge as AI Faculty at Singularity University and author of Machine Intelligence courseware for O’Reilly Media, she realised the importance of protecting human rights and putting ethics, safety, and the values of human spirit into A.I.
Nell serves as Chair & Vice-Chair respectively of the IEEE’s ECPAIS Transparency Experts Focus Group, and P7001 Transparency of Autonomous Systems committee on AI Ethics & Safety, engineering credit score-like mechanisms to safeguard algorithmic trust.

Harold Miller
Read more

Harold Miller

President and CEO Center for Healthcare Quality and Payment Reform.

Dr. Aernout Somsen
Read more

Jim Stolze

Jim Stolze is a tech-entrepreneur and a prominent figure in the European startup scene.
In 2009 he was approached by TED.com to become one of their twelve ambassadors worldwide. Between then and 2016 he was the driving force behind TEDxAmsterdam and many other TEDx events in Europe, the Middle East and even the Caribbean.
An alumnus from the prestigious Singularity University (California) Jim Stolze is a thoughtleader and changemaker in the field of exponential technologies.
Since 2017 Jim focuses on Artificial Intelligence (AI). With his platform Aigency he connects algorithms from PHD’s and startups to data-sets and challenges from big corporates. This initiatieve was labeled by the media as “the world’s first employment agency for artificial intelligence”.
Prof. dr. Fred van Eenennaam Read more

Nell Watson

Eleanor ‘Nell’ Watson is a Machine Intelligence engineer who worked to pioneer Deep Machine Vision at her company QuantaCorp, which enables fast and accurate body measurement from just two photos.
In sharing her knowledge as AI Faculty at Singularity University and author of Machine Intelligence courseware for O’Reilly Media, she realised the importance of protecting human rights and putting ethics, safety, and the values of human spirit into A.I.
Nell serves as Chair & Vice-Chair respectively of the IEEE’s ECPAIS Transparency Experts Focus Group, and P7001 Transparency of Autonomous Systems committee on AI Ethics & Safety, engineering credit score-like mechanisms to safeguard algorithmic trust.