In AI, we trust ?, Trusting AI in Healthcare, The Uber Trust Case and Trust in Brands (The Case of Jaclyn Hill Lipstick) are the topics of today’s discussions.
The special Guest Speaker
Armen Inants has a doctorate (Ph.D) from the University of Grenoble, France, in Artificial Intelligence (AI), a Bachelor’s and Master’s degree in Mathematics from Yerevan State University, and a Master’s degree in Management of Business, Innovation and Technology from Athens Information Technology in Athens, Greece. He is a professional with a diverse skillset ranging from Machine Learning to Symbolic AI, from conducting research and publishing in top venues to developing innovative software. He has taught at the American University of Armenia and worked as a manager on international projects related to AI. Currently works as a Senior AI/ML Research Engineer at Morningstar, Paris, France.
Speech and Q&A
Trusting AI in Healthcare
Group members:
Feliks, Awadis, Sergey, Davit and Ashot
AI in Healthcare – Artificial Intelligence is the simulation of human intelligence in machines that are programmed to think and act like humans. It has become a significant player in our lives. Does it bypass human flaws, or does it create more problems? The presenters will focus on the trust issues of the application of AI in healthcare.
Trust in Brands (The Case of Jaclyn Hill Lipstick)
Group members:
Araz, Arpine, Kaline, and Mary
Brands grow out of trust-based relationships, the promise of quality and dependability.The presenters of this topic will speak about the well-known case of Jaclyn Hill Lipstick that launched flawed cosmetics and her effort in rebuilding trust.
Group members:
Maria, Rosa, Viktorya, and Hagop
Trust in Workplace: The Uber Case – Getting a preferred job might be challenging sometimes and getting a job in an environment that is trustworthy is not easy either. The presenters of the topic will talk about the Uber case. How corporation can fail in creating a trusting enjoinment. What can the employees and what the companies can do to get the trust going again.
Q&A Session
