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

About speakers

About the talk

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 00:04 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 00:13 yesterday and most of today. So I kind of gave 00:20 DMC intros without the flu. Can you tell me a little bit about 00:29 focus on AI events and education 00:32 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 00:42

NYX and then we partner with the larger conferences such as a I submit to help bringing speakers. Contents bringing some partnership 00:52 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 01:02 around a I always radiant, how can we go about kind of move the conversation forward and navigate to those misconceptions 01:11 around the around the technology to her. So the biggest misconception I hear mostly from the Consulting days is executive assuming that I is 01:20

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 01:30 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 01:40 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 01:49 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 01:58

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 02:07 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 02:15 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 02:24 States AI for Enterprise on that you have 02:33

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 02:42 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 02:51 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 03:00 going to be talking about it a summer 2020 03:08

even 21 and 22 what I'll be going to be staying as the as a major trying to do things. So I 03:18 think is pretty interesting coming out but going back to talking about ethics Nai a lot of countries and cities are 03:26 starting to take a stand of what is this standardized? Ethical framework for New York City. For example of the NYC Economic Development Corporation 03:35 is going to be developing I physical Center for responsible AI California, as you know, I had passed them bills about consumer protection 03:45

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 03:55 that make sense. Thank you so much for taking the time. 04:03