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Welcome to the AI in Education podcast With Dan Bowen and Ray Fleming. It's a weekly chat about Artificial Intelligence in Education for educators and education leaders. Also available through Apple Podcasts and Spotify. "This podcast is co-hosted by an employee of Microsoft Australia & New Zealand, but all the views and opinions expressed on this podcast are their own.”

Aug 5, 2020

Time to hear what the next generation of our workforce is thinking and experiencing of AI in their lives. Hear from Michael and Olivia, students in Uni today embarking on technology focused course. What does AI mean to them? How do they use AI today? What is their perspectives on an AI led future? 

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TRANSCRIPT For this episode of The AI in Education Podcast
Series: 3
Episode: 7

This transcript was auto-generated. If you spot any important errors, do feel free to email the podcast hosts for corrections.

 

 

 


Welcome to the AI podcast. How are you, Lee?
I'm good, Dan. Good to be back on the mics again.
It sure is. I'm really looking forward to this uh week's episode. You know, in the past, I think just to remind our kind of listenership that we've actually interviewed a lot of people from industry and we're going to bring a different flavor to that today. Right.
Absolutely.
When when we look back at the other interviews we've done, just to give everybody a bit of a idea, we've looked at the different industries and we've looked at different kind of areas of technology from our partner ecosystem to Microsoft itself to people using the technology and people with the ideas. So for example, we've spoken to Nicole who is a government lead and national security lead for Microsoft Australia and she talked about the police and the way the police and the governments are using technology and the security concerns around some of that technology. We talked to Dr. Nick Woods about the health industry and how the artificial intelligence is supporting with the health industry. We spoke to David Kellerman who was a university uh professor who's used AI and technology to improve outcomes for his students at University of New South Wales. So that was really interesting. And then to tail that one, we connected the dots by speaking to a partner who actually implemented that solution for David. Um, so the cloud collective team. Then we also some of the other ones that stuck out to me were things like Aani from Maitland Newcastle who did a data and AI strategy and brought a team together around her data strategy which is really interesting. So that was a good one to see the back behind the scenes I suppose of a selfservice AI and BI solution and all that connected together. And then one of the other interesting ones was is the startup lead for Microsoft, Emily Rich. So, we would looked at and I know you work a lot with these people, Lee, around um you know, new companies and things like that. So, you know, we spoke to Emily Rich around the startup industry.
Yeah. You know, when you read the list out there, Dan, it's it's like it's a pretty it's a solid list of of a broad range of people and you know, and a good diverse list of people from different areas and different segments. Um you know, the one you missed out of course was that amazing interview you did with the National Technology Office of Microsoft Yeah, of course. Yeah,
of course. You know, of course I like that one. But you know what strikes me, Dan, is is I look through that list and you know, we all of the people we've talked to or you've talked to in the past are people who are in the industry today, you know, and they're people that are have probably moved forward with the industry as it's evolved in this AI space. But you know what we were thinking about is we sometimes forget there's a lot of young people today entering the workforce and there's so much happening in the world of IT today and And you know it is such a broad term when we think about what information technology is or ICT or BIT business information technology. So I thought it wouldn't it be interesting if we asked the question to some of those younger people who are just about to embark on their journey you know left school in that journey into the into the world of work who are touching on technology because AI has now become such an integral part of any technology conversation it's almost impossible to avoid it. So So Dan, let's we you know we should talk to some young people should
I I think we should roll that tape. Dan,
hi Michael. How are you?
Good, thanks. How are you?
Yeah, I'm good. Thanks. Thanks for joining our podcast today. Um you know, we we've just interviewed some really interesting people on the cutting edge of it and technology and I've been watching some really cool stuff of yours on uh YouTube recently around quantum computing. So I thought it'd be great to just interview and get your views on some of these uh topics that that are kind of in the news at the minute. So, tell us a bit about yourself and what you're currently doing.
Yeah, my name is Michael Nixon. I'm a year 12 high school student from Wagaoga, New South Wales.
Not not really what you'd think of the the tech hub of the world, but I've I've got a passion for computers and technology and more specifically sharing that with other people. And when I was 14, I created a kit called the amazing annoyatron which teaches children to code through lots of different pranks.
It's so cool, isn't it? I I I was looking at it the other day and it uses Arduino, right?
Yes, it uses Arduino.
That is so What What type of pranks do you do on it?
There's a lot of noise based ones. So, you know, the burglar alarm, there's ticking clock, there's a a little cricket where it uses the sounds along with light sensors. so that it chirps, but then when you turn the light to go find it, you can't find it because it turns off.
Now, that is a brilliant prank, isn't it? That's so good. And it gets kids computing uh skills working as well at the same time, which is awesome. So good. Um, so we put link some links to that in the show notes as well, so people can go and have a look. It's really good. Um, so when we look, you know, this podcast focus on like AI, I suppose, as well. So what's your uh how do you feel about AI in your life today? I think it's AI is a very interesting topic because I think there's a lot of misconceptions about what it is and how it works out there. I think people either think AI is Siri, which is pretty rubbish, or they think it's some kind of evil force come to wreak destruction on all of humanity.
Yeah.
So, what what's what how do you feel about that yourself?
Um, I think it's very much in its infancy. I think it's We're very still limited by our computing capacity, which is even though it's amazing compared with what it used to be, I don't think it's enough for us to see the full potential of AI, which is why I'm so excited about quantum computing.
I think there's a lot of untapped potential. You know, artificial intelligence is just a bunch of mathematical algorithms done at super speed. And I think once we get the computing power behind it, We should be able to really find out what it can do.
Yeah. No, absolutely. And we did a we did an episode on quantum and you know I was look it was quite apt because I saw you a video after we did our episode on it. I was like wow we got to get this guy on the show cuz it's really good. I'll put you a explainer video. You did such a better job at at explaining quantum than than myself and Lee work at Microsoft and we kind of working with it. You did such a better job at explaining it and shorting his cat and that is fantastic. Um and you're absolutely right. I Um, so how have you learned about AI then? Have you learned through school or do you have to learn yourself?
No, we don't really learn that kind of thing at school. However, I do think what we do learn at school is quite helpful. Like um a lot of kids wonder why you learn things like calculus at school, you know, makes your brain hurt to the point where it wants to fall off.
Yeah.
But you look at artificial intelligence, that's really the backbone of it, you know. Um, multivariable calculus. That's what these things run off. Probability. That's
that's what it works on. And I think it's been really cool for me looking at artificial intelligence to find uses for what we're doing in school. So I think that's that's definitely how it connects to school for me.
Yeah, definitely. So So are you you generally are you scared or excited by the prospect of AI yourself?
I think I'm excited. I don't think it's going to be something that destroys us, at least certainly not yet. I think there's lots of opportunity for us to think about how we're going to use it. It's a great tool and I think really it's potential lies in people coming up with creative ways to use it. You know, people thinking about the different applications because I don't think we've seen, you know, too many really solid ideas of how to use it. People are still scratching their heads. I think mostly.
Yeah. Yeah. It's a fair point. And and so when you think of the future and you think about solving any problem with AI, you know, you've put your head to the really tricky one of getting kids into coding. If you could solve any problem with AI in the future, looking into the future with it, what would that be?
I think it would have to be something to do with poverty. I think there's a lot of logist ical problems, those kinds of areas that I think could be very well solved with AI, you know, problems like um effective water transportation, even disease, coming up with fantastic vaccines so that um you know, we can we can prevent pandemics like this.
Yeah. Yeah. It's a good point, isn't it? Um so you hope for the future over there. Is it is it thumbs up or thumbs down?
Definitely. Thumbs up. Bright future ahead.
That's fantastic.
Okay. Well, I'm here with uh oddly enough my niece Olivia. Uh and I've asked her to share a little bit about herself and and what her journey is in AI. So Olivia, let's start with you. Tell us a little bit about yourself.
Yeah. So I'm 18 years old. I'm currently a first year university student and I'm studying a Bachelor of Information Technology at the University of Technology Sydney on a cooperative scholarship. So next January I'll be starting a six-month internship with the Australian Securities Investments Commission. So, I'm really excited about that. I'm going to learn more about cyber security hopefully. Um, outside of IT, I have other interests like sport. I really love reading. I love learning about space exploration and NASA recently. Um, I really started learning about it in year 9 probably when I chose a subject in school. So, I've been lucky enough to learn programming languages such as Python, I've done some Java, done some Linux. Um, yeah. So, I'm just just really excited to keep learning about it in uni.
It's awesome. And you're doing so many cool stuff. I wish I'd done most that stuff when I was your age as well. Um and it must be just really interesting to be at uni starting in this time of co like is are you finding that difficult at all?
I think it's definitely hard. I'm very lucky that I was able to meet a lot of people from my course before university. So it makes it a lot easier to reach out. But yeah, doing an IT course, most of it's on a laptop anyway, so it's not too hard to adjust. But yeah, I'm definitely missing seeing people face to face.
Yeah. No, for sure. None I don't doubt it. Um so look cool and a lot of stuff you're doing is obviously tech and science related with the programming and just general interest area. So given the topic you know we're talking about AI and really the impact of AI on on people like yourself and young people coming into the workforce. So what is your what do you understand about AI today and where do you see it in your life today?
Well it's definitely present everywhere I look. I mean the first thing I did when I woke up today was unlock my phone. Obviously I do that with Face ID which uses machine learning. Even little things when I'm shown advertisements or my Google searches I'm recommended friends when I go on social media and things like that. That's all AI working behind the scenes. Um, same goes with music apps such as things I use on an everyday basis. It's really really fundamentally based on AI. Even services when I need I need help. Um, I talk to chat box which really effectively mimic conversations with real people and make customer service so much more efficient for me as a user. But yeah, I also know it's doing a lot more than just filtering my mail. I mean, I know It's really effective in medical services and medical systems, for example, because it's able to analyze data so efficiently. And I remember reading somewhere that AI was just as capable as diagnosing tumors as doctors in some occasions, which I think is amazing and amazing progress. Um, but yeah, even walking down the street, I mean, there's a chance I'm walking past a car that knows how to park itself or drive itself. I mean, sometimes my dad can't parallel park too well and he clicks a button and the car does it for him. So yeah, I think definitely especially as a generation that's been exposed to such rapidly evolving technology from a young age, it's really easy to forget how reliant I am upon technology and how many of these technologies do use AI every day.
That's awesome. And you you've obviously like thought a lot about it. Um I better not let your dad hear this cuz have something to say about his parking. Um but it's like the way you describe it almost everything in your life in someone of your generation
is touched by AI. Like you said, your phone your computer, the way you deal with service agents, rope, you know, chat bots, that kind of stuff.
So, given that it's so pervasive in your life, have you do you find that have you taken the time to learn much about AI and have you kind of learned anything really interesting? I mean, you touched on the medical stuff that you said.
Yeah. So, I think definitely most of my AI knowledge has just come kind of come from like news articles, general interest, reading. I've kind of do I don't really learn about it too much in university yet. I know that one of the sub majors I might be picking does go into it, so I might be choosing that. But yeah, I remember it was only two or three years ago that I actually learned that AI is an umbrella term. I thought AI was something completely different to machine learning, for example, and all other different subsets. So recently, I've been trying to read a little bit on deep learning, which I think is really interesting. I think it's amazing how they can create technology that is going to mimic the workings of a human brain and kind of learn without human supervision. So I think that's really exciting and then how that can then be applied from little things like translating languages to robots and self-driving cars, things like that. But yeah, I think most recently when I the most recent thing I've learned about AI was in university, we did a presentation and it was what new technologies are being used for social good and another group did a presentation on how AI is helping with the fight against CO 19.
So about how it's being used in medical systems, how it can analyze data like I said before and find red flags simp symptoms, notify healthcare workers at a drop of a hat, like identifying hotspots, things as simple as contact tracing to predictive modeling. So, it's all making a really, really big impact in our world today. But yeah, I definitely remember being surprised by how many different ways it is used in our life. I mean, before I really did research on it, I kind of only thought, you know, robots, cars, I didn't realize how many of our daily tasks do rely on AI. Yeah,
it's surprising. Yeah, you're right. And it's surprising how much it's just become woven into the fabric of your life. Like you say, the things that you just take for granted now that just happen and it's an AI system. Um, and the other thing you said which is great and I'm going to make you listen to the more of my podcasts in the past because we've explored this before this issue that AI is such a it doesn't mean anything. It's just this broad term and you really got to start to pull it apart into machine learnings and types of machine learning, supervised, unsupervised. So, it's really good that you're starting to get that sense that it isn't just a a scary black box thing. It's kind of a a useful tool when applied in the right ways.
Definitely.
Um, but that kind of lights, you know, this issue we have often we hear is that people are people are scared of what AI making decisions on their behalf as much as they're excited by the potential for medical industry and all those other things that are happening. Have you kind of is there anything you particularly kind of see and are you sort of worried about the potential what AI could bring?
I think it's definitely natural to be a little bit nervous with terms of AI especially because it is just developing so fast. I know I have a friend and He's obsessed with these um Boston dynamic robots. I don't know. Yeah, I don't know if you've seen them. They're these amazing robots that can do handstands, flip parkour. There's one video in particular and this robot's trying to pick up a wooden box and they just keep knocking it over with this wooden pole and it just immediately gets back up. And he kind of has a joke with me. He's like, "Oh, imagine then these things are going to be sentient." You know, like we're in trouble. And you know, I laugh about it, but it's always at the back of my mind whenever I'm thinking about it. But um yeah, I think as well because I'm a student, there's definitely a fear that one day AI will be able to do the jobs that we're doing and replace us and further our own knowledge better than we are already. So I think that's definitely a thing. But I think overall definitely more excitement about everything that can come out of AI. I mean there's so many ways it's already bettering our current society. So as we continue to involve it'll only get more efficient and obviously as an IT student it'll open up so many career paths for other students like me.
That's good that you see that future because that's the reality is we hope is that AI it look it obviously impacts in some job areas but it also changes the dynamics of entire industries where there are jobs and things you could be doing in industries you might never have thought of but I because AI is so valuable and then it is a solid background to that you could find yourself in you know anything medical construction anywhere
um and the Boston Dynamics one I've seen the video of that and kind of sort of feel bad for the robot pushing the robot
but you know it doesn't it's a whole another topic I don't know if you ever learn about this in uni which is
you know the ical elements of what AI means when you start to relinquish some of the responsibilities we have as humans to robots and then how do we treat those devices just cuz they are not human but they were embibing them with humanlike sentiment.
Yeah, exactly.
It feels wrong that you should treat a robot that way. Yeah.
Yeah. It's it's a it's an interesting dilemma the whole ethics of of AI separately.
Yeah. Especially with self-driving cars as well. I know one of the activities we had to do for a subject was if there's a self-driving car, who's it aiming to protect the pedestrian or the passenger in the car.
So, I think there's a whole lot of ethical questioning that's going to be unlocked. Can of worms, I guess.
Look, it is and and yeah, at this point, I spend a lot of time my time thinking about, but it's
it's not an easy problem to solve. No doubt about it. So, so thinking of problem solving then so looking at it from that positive view that you have
looking forward like what are the kind of problems that you would love to see us solving with AI and kind of you know where would you like to get involved in perhaps?
Um I think that definitely something I would like to see is the reduction of car accidents. I think especially because it's something that we're kind of on the cusp of, but not really. I mean, in the news, you see videos of the cars that can now stop by themselves. Obviously, we already have cars that can park by themselves. I think if we can improve and really sophisticate the autonomous cars, I think that'd be a really, really great step forward. I mean, I remember I was reading an article the other week about a car they're theorizing that will be able to stop from a passenger out of view. by communicating with traffic cameras.
So I think just taking new viewpoints on that could really really reduce it. And then again with the medical information systems, I mean people are saying that
AI could help them cure cancer and find vaccines and things like that. So I think there's definitely a broad range of problems that can be solved with AI in the future.
Yeah, it's great. I mean, well, healthcare is obviously a really important one. And the car one, I like your example because it shows that
you're thinking about it. We don't think about it from the constraints of how we think about a car today, which is just the car, how does that car interact with the systems around it, the lights, the people and that maybe the devices that those people are carrying are also signaling and helping the cars be safer. I think it's it's amazing that you that you have that mind to think just in that different way. That's awesome. Look, so last question for me and then I'll let you get back to your day.
So, you know, with an AI view of the world, what's your hope for the future? What's the world you want to grow up in?
I think definitely innovation is going to continue to be the most important thing, especially in a field such as technology where it's been been rapidly evolving. I mean, our first programmable computer was only built in what 1940 was it?
Yeah.
So, it's we're not even on 100 years and we're already creating such amazing systems and technology. I think in my lifetime if sentient AI was created, I would definitely die happy. I think it's something that we're maybe a little bit far from right now.
Well, Lee, that was fantastic. It's just incredible, isn't it, to hear that their their clarity of thought on some of these things. I was um Yeah, super super. We should do more of that. It's just incredible to get that perspective.
Yeah. No, absolutely. And and that demographic, you know, that they were kind of similar age, similar experiences, one just finishing school, one already in uni. You know, it's it's interesting as well to have male point of view and a female point of view as well, just to kind of see if there were any differences there, you know, within a sample size of two. It was uh really interesting to hear their thoughts. What What did you think about Michael?
Oh, look, uh yeah, incredible story. Uh I don't think I want to be around him because of his Arduino bank machine. That sounds very uh very worrying. Um but you know there was a couple of things that struck me but the first thing was you know I think he opened with his commentary about the fact he's from Waga. You know it's from a regional town and he's you know in his own words it's not a digital hub but that doesn't stop you. And and it's good to see that you know that young people in places that don't have to be in the big cities to get connected to and have access to the kinds of technologies we want them to. I think it's really good and that that was a that was the first thing that that struck me. I mean he said a lot of really amazing things. But um yeah, that was interesting.
Yeah. And he was and he's really entrepreneurial, isn't he? And I think that's some of the things that have jumped out. I think students these days when when we came into this, I think I think we were both thinking about well when I was 18. I certainly wasn't entrepreneurial. Um I was just kind of going through the standard classical way of learning and school. And I don't think I was encouraged at that stage by school or by uni to think outside the box. It was very much a filling of a vessel. rather than light in the fire.
Yeah, I think so. Yeah. And and actually now you say that that reminded me of something that he did say which was you know he if he thought about you I think you asked him the question what do you do you learn about AI at school and his response was no he doesn't learn about AI at school yet he could connect the dots between things that you do at school maths calculus to understand how they apply to something as you know far away as AI and I I just don't think I was ever thinking that clearly about the application of learning in the real world. um at that point uh you know that fact that he was on that did you hear that he was uh frustrated with the limiting limits of computing capacity and and I thought to myself God what would he have done if he was back when you and I were at school and the computer the PDP11s and the gosh the terrible I think we're on Apple Max first edition Apple when I got to uni
absolutely and and that's that's another thing that came out through Olivia and Michael's conversations was this wasn't a superficial discussion. We asked sensible questions that we'd ask any anybody. Um, and they they really weren't superficial. They thought about their answers and they were really um understanding technology uh quite a lot which was really kind of eye opening for me.
Yeah, definitely. And um I'm interested to get your thoughts uh on my niece Olivia who
Oh, wow. I I know I've known her for a long time and that was probably the longest conversation I've ever had with her, but it was amazing to sh to listen hear that level of maturity from her. What were your thoughts?
Absolutely. Well, you know, well, my my my final thought was when when she was talking with sentient day and I had to quickly go into my favorite search engine and find out what she was talking about because you know you know she was yeah she was thinking about the the real things which are close to everybody's heart at the minute you know around that AI for social good and the fact that she was exposed from a young age to technology and she was really cognizant of how um much and how reliant her kind of age group and demographic are with uh AI and technology and you know the way she started talking and brought in about you know the contact tracing ideas the predictive modeling all of the things that are woven into the fabric of our lives you know it's it was really uh enlightening to hear her thinking about that and hear the way that she's tackling that in university and it was it was really interesting to hear her positivity and the fact that she was really excited about it and the fact that she thinks that um it's about bettering society. Uh and when you asked her, I think about the problems she'd solve with with AI. She was talking about reduction of car accidents, curing cancer, finding vaccines, you know, they they're big ticket items that say Microsoft where you're looking at at the at the top level and other companies are and and and she's right on the money there and she was like totally keen to kind of see how this was going to uh really drive And I suppose when I'm comparing the difference between Michael and Olivia, I think Michael was really in touch with those kind of um uh technological advances that were were holding us back and then Olivia with a university lens on was also thinking about those kind of wider big problems which she could solve which was fantastic.
Yeah. Know I I agree and I I was you know the the positivity without a doubt and I think that's that's really for me was a a light bulb moment in that there's just a natural assumption that because there's so much negativity that we read about, you know, the the the impact of AI on people's lives and jobs and livelihoods and all these things that you think that's going to perpet per perpetrate its way into young people's minds, but it doesn't. Her positivity was there and and you know, when I yeah, I think at the end when I asked her about the problem she'd solved, you know, curing cancer, funny vaccines, I know these are things that a lot of people think about, but the one that when she talked about the car accidents one and I remember as she were talking about it and and we were sort of chatting about it more more afterwards just depth of thinking around how it might work. You know what there was no there were no bounds to the thinking you know in the way that you and I might have historically thought about what's possible based on what we can see and observe
young people seem to be thinking about
the unobservable the what could what's possible.
Yes.
Uh which is a which is that positivity of well you know with this tool what could I do and and that was fantastic. Really enjoyed it.
Definitely. And and and I think you know that ethical concern came up again you know and the fact that they're thinking just because we can do things, we shouldn't have to do things. Uh so that was a really interesting theme as well that came through and the positivity like I I agree. Well, that was that was a really good exercise to do for this podcast. I hope the listeners really enjoyed it as well.
I don't know how we're going to top that, Dan. I mean, when you got those two stars now, we're redundant now, aren't I?
I know. Yeah, they'll have to interview us. We don't in our old age. Well, that was a brilliant episode, Lee. Thanks very much. I really enjoyed that.
Thanks, Dan. See you next time.
Thanks.