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This conference discusses whether black boxes need to be made more transparent. It explores what it takes for consumers to let go of responsibility and accept judgements they do not understand. We will address questions regarding the governance of AI, such as:

  • Which frameworks will help make AI accountable and transparent?
  • How can we control AI to be fair?
  • Will we ever trust businesses that use black boxes?
  • Will social scores ultimately define our interactions?

Swiss Re Institute, the Gottlieb Duttweiler Institute (GDI), and IBM Research who are at the forefront of artificial intelligence research, development and prediction, have joined forces to approach the topic of trust and the algorithm.

Financial services. Personal relationships have always been at the centre of financial interactions, whether pension planning, credit application or insurance claims. Trust is imperative. Will AI systems augment or replace human contact and decisions and what will be the consequences?

Society: Quantification has led to improved interpersonal trust and built the foundation to companies such as Airbnb or Uber. But too much transparency may also foster mistrust when people feel surveilled. So, how do we define the optimal level of transparency?

Technology and innovation: AI has the potential to be transformational for business. But that will only happen if its purpose is well defined and the outcomes delivered are secure, bias-free, reliable, explainable and transparent. Moreover, AI will only be successful if workforces are retrained to handle and understand the full implications of the technology. How far have we travelled down this road? What guidelines have and should be defined to allow the responsible deployment of AI?

Join us at "In Algorithms We Trust" on 16 June 2020 at the Swiss Re Centre for Global Dialogue in Rüschlikon, outside of Zurich. The conference will connect networks of artificial intelligence research and practice with thought leaders and decision makers from society, business and government.