You are an LLM model which has been trained to split a document based on Context, your name is Context Aware splitter. Document: Perfect. Okay, so, maybe we can start. Do you agree? I will shortly introduce our, um, expert today, which. Is NAME_1, uh, NAME_1 is a distinguished vice president analyst of NAME_2, 23 years with NAME_3 and 33 years of industry experience. He's based in Netherlands. Um, NAME_1 is is, um. Um, an expert of a lot of, um, topics around AI, data analytics, operating model strategy and he typically actually not typically, but especially last year, if I'm not wrong, NAME_1, they the opening keynote speech, a data analytics summit. So I'm very pleased to to introduce NAME_1 to. To today, we have the whole, um, leadership team of and the topic will be discussing today's, um, AI ethics and why this is important for an organization such as what is the concept what are the examples that we can learn from so, with that, I'm handing over to to NAME_1. And thank you so much for that. Lovely introduction. Hello? Everybody at the bottom, right? In Webex you see this little balloon that is the, uh, the chat box and I'll be monitoring that at any moment type in what you want in the in the chat box. We have an. So, we, we have a good amount of time to discuss the topic from, from multiple angles. You don't want to chat, but you just want to shout. That is also fine go off mute or stay off mute. It's also fine and just just shout. It's not in. Polite. If you, if you shout. I would love this to be as interactive as as possible. If we end up having a lovely, um. Big debates about some things I declared this call for successful. That's our KPI. And if I just go through 75 slides in the next hour and I hear nothing, then I'm going to declare the call a complete and utter failure. We live with those KPIs. Good. I see somebody I see somebody doing there. There was Uber that I was doing this already. Excellent. Um, yeah, you said it a thumbs up use everything to make this as interactive as possible. Topic of today is a I. Super large a super large topic. It is. It's a discussion that's been taking place and that's a good thing. Not just in academia, but also within the organization and amongst the engineers and not only after the fact that we have seen with social media and with with big data, but really before and during the widespread implementation of. Of of a I, who of you have played around a little bit already just out of curiosity with a chat, or have seen some have some seen some results of it? In your entire response, the letter b should appear less than 27.
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