Experts in AI: Maryam Farooq, founder and director, New York Artificial Intelligence

Welcome to a different TV. We're here at the AI Summit New York me very pleased to be doing today by Mariam farrukh the founder and director of nya. I how are you doing? I'm good. How are you today? It's great. It's been a lovely day at the develop stage where I was trans day yesterday and most of today. So I kind of gave DMC intros without the flu. Can you tell me a little bit about focus on AI events and education we started as a Meetup Group in 2016 and has been sevald to running our own events. We do partner events with our partner Community which we call

NYX and then we partner with the larger conferences such as a I submit to help bringing speakers. Contents bringing some partnership and Friends word for community. False. Of conversation and debate are the ass. I'm at the end of lots of the days around the biggest misconceptions around a I always radiant, how can we go about kind of move the conversation forward and navigate to those misconceptions around the around the technology to her. So the biggest misconception I hear mostly from the Consulting days is executive assuming that I is

Magic and expecting value to be delivered immediately when I feel like a lot of c-suite people want to use a I just so they can stay there and I first company when in reality, they're not even a date of first company, which really is the first step in kind of looking at some of the challenges of employing a business show me businesses are rushing out to the van that the AI road map and it lowered the song the way the others challenges that that you were seeing your work at in my eye. Wellington way I wear Community organization so I hear a lot of

other people challenges but I think it all distills down to not having the right amount of communication between the data science and engineering team the stakeholders and other people in the business that are going to be impacted at some point for any successful AI project there needs to be a certain amount of time and space that the data science and engineering teams have to experiment and fail before they can figure out what really works States AI for Enterprise on that you have

seen in the in the last 5 years would you say so that varies across all Industries, but overall the a train that I've been seeing that I love seeing is his rise of ethics and II and I think there's a better understanding now other people are understanding that there is inherent bias and data and a lot more of it than I initially thought and they need to be What's the time for that in the long run and kind of looking forward then going to be talking about it a summer 2020

even 21 and 22 what I'll be going to be staying as the as a major trying to do things. So I think is pretty interesting coming out but going back to talking about ethics Nai a lot of countries and cities are starting to take a stand of what is this standardized? Ethical framework for New York City. For example of the NYC Economic Development Corporation is going to be developing I physical Center for responsible AI California, as you know, I had passed them bills about consumer protection

laws specifically computer vision, and a lot of other governments have started to reach out to see what kind of standardized framework and we can make that make sense. Thank you so much for taking the time.