Responsible AI at ZEISS: Compliance Without Slowing Innovation – with Alexandra Wander, ZEISS
“We’re not only asking whether using AI is legally allowed – we’re also asking whether it’s the right thing to do ethically and socially.”
“We’re not only asking whether using AI is legally allowed – we’re also asking whether it’s the right thing to do ethically and socially.”
„Es hat sich als Erfolgsfaktor herauskristallisiert: Wenn ich Erfolg beim Thema Datenkultur haben will, muss ich das Mittelmanagement irgendwie mitkriegen.“
„Eins wollen wir nicht: Dass es am Ende heißt, weil die KI falsch beraten hat, sind vielleicht 10 % der Kundengelder weg – und die sind unwiederbringlich verloren.“
"Where we are moving towards is more transactional. It's not just about consuming. It's not about question answering. It's all about also to be able to perform tasks."
"AI's biggest advantage is its flexibility -- and the way a human can interface with it."
"A solid data foundation was not essential for early AI prototypes and pilots. But it is critical for scaling AI across the enterprise."
"We might spend a lot of time trying to define a role that will change within a month."
„Data Governance war lange ein Hindernis. Jetzt ist es plötzlich ein Enabler, ein Faktor, der ermöglicht."
"In 80 percent of cases, you need to stay in the field of classical software architecture and classical machine learning. It's too sexy to go to GenAI, but it's rather easy to make this mistake and to build a rather unstable system."
"You need to have both the bottom-up experimentation to learn what's possible, and the top-down business view from executive level -- what do we want to do now and in the future?"
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