On-Demand Webinar

5 Considerations for Responsible AI  

Balancing innovation and ethics in data science

 Duration: 45 minutes

About the webinar

With the rise of AI across all facets of society, ethics is proving to be the new frontier of technology. Public awareness, press scrutiny, and upcoming regulations are mandating organizations and the data science community to embed ethical principles in AI initiatives.

Questions should be asked about the fitness of the data used to train models, the risk to amplify human bias and discriminations, the explainability of predictions and decisions made with machine learning algorithms, and the human oversight in monitoring the fairness and transparency of AI applications.

Beyond the greater good and social responsibility, what is at stake is the successful adoption of AI technologies that have otherwise the potential to deliver tremendous value to organizations and society at large.

What you'll learn:

  • Why ethical considerations cannot be an afterthought of AI initiatives?
  • How to implement responsible AI principles as part of your data science projects?
  • Should data science become a regulated profession?

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About the Expert

Olivier Penel
Data & Analytics Strategic Advisor

Artificial Intelligence is re-shaping the world we live in. From life partner choices to political campaign management, sport performance optimization and of course business decisions, AI is weaving into more and more aspects of society, businesses and personal lives. In this innovation race, data is the “new black”, data science is emerging as a new profession, and ethics is becoming the new frontier of technology.

With a long-lasting obsession for data, Olivier is passionate about data-driven innovation, artificial intelligence and how it relates to bigger questions such as privacy and ethics.

As a thought leader, public speaker and trusted advisor, Olivier enjoys providing strategic guidance to organizations to streamline the creation of analytical insight, from data to decision, to operationalize analytics, to maximise the value from AI investments and to accelerate digital transformations.

Olivier has an engineering degree in Human-Computer Interactions with a minor in Philosophy, Technology, and Cognition. He is currently acting as an advisor in the Global Sales Support organization at SAS Institute.