ECDA Annual Summit 2020: Impact of AI on society
ECDA Annual Summit 2020: Impact of AI on society
The Erasmus Centre for Data Analytics welcomes you to Erasmus Data Summit 2020. This year’s summit will be held fully online due to the COVID-19 related restrictions. COVID-19 has brought the world to stand still and has had a major impact on society. During the crisis, we observed how exponential technologies are used towards the benefit of society, and if not regulated properly, can lead to severe negative outcomes as well. This is true for AI as well.
Therefore, the theme of this year’s summit is “Impact of AI on society” and throughout the session, we shall explore the topic of AI and its impact through multi-disciplinary lenses, both optimistic and cautious. We have gathered an outstanding list of speakers to share their insights with you. The event consists of a plenary part followed by 5 tracks of breakout sessions where our academic directors share their insights. Our keynote speakers this year are Frans Muller, President & Chief Executive Officer at Ahold Delhaize and Hans-Aloys Wischmann, Program Manager AI for Precision Diagnosis at Philips.
|Date||Wednesday, July 8 2020|
|Time||15.00 – 18.00 h|
|Location||Digital, link will be distributed after registration|
|Registration||Get your free ticket via Eventbrite|
Schedule Plenary Session
|15.00 - 15.10||Intro & Welcome||
Gerrit Schipper - Executive Director, ECDA
Prof. Rutger Engels - Rector Magnificus, EUR
|15.15 - 15.45||
Opportunities and challenges for AI in retail
Frans Muller - President & Chief Executive Officer, Ahold Delhaize
|15.50 - 16.20||
Opportunities and challenges for AI in healthcare
Hans-Aloys Wischmann - Program Manager AI & Precision Diagnosis, Philips
Schedule Breakout Tracks
Keeping up with AI-trends can be quite a hassle. That's why we organized 5 breakout sessions with our Acadmic Experts to guide you through the developments in AI and how they will impact both business and society.
Curated tracks to choose from:
Accountability & Legality in AI
A1: Artificial Intelligence and Legal Personality
AIs mimic human like decisions, but they are no humans. This raises the question about the legal status of AIs. Is it appropriate to grant AIs the status of a distinct legal person to which responsibility and legal obligations can be attributed? What is the advantage for doing so? This webinar shall map some of the pending questions and stimulate an out of the box discussion.
A2: Audit of Algorithms
The physical distancing forced upon organizations and individuals by Covid-19 has accelerated technology adoption and, implicitly the adoption of algorithms embedded into the technology. Now more than ever, unintended consequences of algorithms can have a widespread reach. Auditing an algorithm aims as making such consequences visible. In this break-out session we will address algorithms that should be audited and how such an audit can be performed.
Combatting Covid-19 with AI
B1: Covid-19, Data and Beyond-Why share scientific data during a pandemic?
Science is a collaborative effort and sharing scientific data is essential for advancing discovery. The COVID-19 pandemic has accelerated the rate at which new research and data from all over the world are shared, in order to inform international and national responses to the pandemic. Last but not least, it is also data, that is driving the development of diagnostic tools, drug treatments and vaccines.
B2: Assessing the Covid-19 digital solution landscape. Opportunities for societal change.
Dr. Jeffrey Sweeney provides his perspective on the recent emergence of Covid-19 technologies and their potential role in society. He introduces a framework to compare key features of the most recognized solutions and discusses their potential future use towards societal benefit. Two showcase examples are presented in detail.
Systemic impact of AI
C1: Future of Energy Systems: Digital, Intelligent, Integrated, and Decarbonized
Conventional energy system is undergoing major structural changes with decarbonization, digitalization, and decentralization, being the three pillars of this transformation. The smart and efficient transformation of the energy system cannot happen with disregard to its increasing interconnections between its consisting sectors such power sector, heat sector, gas/hydrogen network, and transportation. In this session, we want to highlight some of the existing and future challenges and opportunities in this direction and how digitalization and AI could facilitate this.
C2: Policy & Management of data driven health care
The pace and scale of AI in health care depends the reform of health care systems. As new actors, such as tech companies, enter health care systems, the balance of influence between providers, payers and policy makers need to be reconsidered – as well as the lines of accountability and the mix of instruments to govern the system. This presentation focus on the necessary evolution of the Dutch health care system to enable the implementation of data driven care. Different scenarios for the reform of the health care system will be presented and discussed.
Value of AI in Business
D1: Competing in the Age of AI
AI-driven companies are likely to outperform traditional firms. However, this doesn’t come easily. There are many challenges for businesses that embrace AI to compete with new digital rivals, spanning across data, algorithms, experiments, organization models, and operating models.
D2: Open Banking, PSD2 and the potential role of AI
In this session, we discuss recent developments in banking, in particular with regards to opening up the banks data monopoly to outside third parties upon their clients’ request and approval. We discuss these developments as well as threats and opportunities for incumbent banks, large techs, and FinTech startups.
Social and Psychological implications of AI
E1: Human Judgment in the Age of AI
The talk will present a framework to help us think about the division of labor between humans and machines. For which tasks do machines have super-human abilities? And, equally important, for which tasks do humans still have super-machine abilities? Answering these questions will be crucial to ensure that we fulfill the potential of AI and help humans flourish.
E2: AI for effective and responsible social network campaigns
The presenters will demonstrate how simulation models using existing data can help predict the success of different campaign strategies. In the interactive session we will discuss potential implications for campaign practice, for example in targeting and tailoring campaign messages to specific target groups
Session 1: 16.25 - 16.55
Session 2: 16.55 - 17.25
|A: Legal tech & AI accountability||
Artificial Intelligence and Legal Personality - Prof. Klaus Heine (EUR)
|Audit of Algorithms - Dr. Otto Koppius & Dr. Iuliana Sandu (EUR)|
Covid-19 and beyond - Prof. Peter van de Spek (Erasmus MC)
Assessing the Covid-19 digital solution landscape. Opportunities for societal change - Dr. Jeffrey Sweeney (EUR)
|C: Societal challenges & impact of AI||Future of Energy Systems: Digital, Intelligent, Integrated, and Decarbonized -
Dr. Yashar- Ghiassi-Farrokhfal & Prof. Wolf Ketter (EUR)
|Policy & Management of Data Driven Health Care - Prof. Antoinette de Bont (EUR)|
|D: Business value of AI||Competing in the Age of AI - Prof. Ting Li (EUR)||Open Banking, PSD2 and the Potential Role of AI - Dr. Dion Bongaerts (EUR)|
|E: Social-psychological implications of AI||Human Judgment in the Age of AI - Prof. Stefano Puntoni (EUR)||AI for effective and responsible social network campaigns - Prof. Moniek Buijzen and Dr. Thabo van Woudenberg (EUR)|
Plenary Closing Session
|17.30 - 17.50||
Tech Design for the Next Billion
Prof. Payal Arora (EUR)
|17.50 - 18.00||
Prof. Ansgar Richter, Dean RSM