[youtube Live] Future Economy: Ai And The Future Of Work

Hi everyone thanks for coming for today’s event we will be starting in ten minutes so please get a drink and a food and take a seat thank you hi good evening everyone and thank you very much for joining us at tonight’s event with SG innovate and the UK Department for international trade my name is Tuan and I’m with.

SG innovate could I just have a show of hands who among our audience tonight is here as Univ a for a.

Very very first time alright so we’ve got about 30 40 % and the rest have actually been very familiar with what it is that as you know vader’s and this session tonight is one of the many different activities that as innovators throughout the year with our various corporate and international partners from the UK from France from Canada and so forth in order to.
Reinforce the importance and.

Impact of AI in our society and the future economy SG innovate has had a lot of good friends and today we are very honored.

To actually have our friends from the United Kingdom festival specifically the department for international trade who has worked tirelessly we have a group of important business partners and startups from the UK visiting Singapore yesterday and today we want to bring together not just startups but also investors corporate partners who work with researchers and government representatives across industries to help connect and catalyze conversations and collaborations and one that is very very important in our future.

And today’s economy is the impact of AR the future of work and without further ado I on behalf of the UK Department for International Trade and Commissioner black as well would like to start off the evening and without further ado I would like to invite mark Jensen who is our moderator for today’s we had our discussion to.

The stage mark please thank you very much welcome this evening I’m going to go through the introductions very rapidly actually work on all my guests up on stage for this evening in fact I’m the one who’s does no talking so please please come on the stage or.

Quickly introduce if people come up so first dr.

Soong Zhu cook is chief futurist chief fruits research officer at skillsfuture see how maybe you can join us as well see Houser is investment manager octopus Natalie if I can get you up on stage Natalie black her majesty’s trade commission for Asia Pacific very important. senior REO if you can also join CEO and founder of tiger information by the way is in your brief brochures are online etc so we’re not gonna.

Go through deep buyers and then if you can come.

Stage as well in Jones chief strategy officer co-founder of amplifier so welcome never on stage so tonight’s discussion is on the future of AI the impact on the workforce and I think importantly obviously given the number of people who have traveled from overseas to be here is also reflecting on the importance of relationship between Singapore UK and the importance of also what that means in terms of development of AI and new technology as well so maybe Natalie I’ll get you.

To open up just quickly in terms of some of your thoughts around that for tonight first of all I’m going to complain because Ian at the end here has looked after himself and he’s got a beer and the rest of us they don’t so firstly just a big THANK YOU to SG innovate and panelists.

It’s wonderful to see the room so packed let’s not ask about health and safety but it looks wonderful so I’m really really pleased it’s so much interest here and the reason why we were particularly keen.

To talk about AI in a UK Singapore context is because I think we think about this issue in a.

Very similar way there’s a lot of technical experts in the room who we’ll talk to us about the importance of access to data and volume particularly when you’re thinking about machine learning and really trying to train all of the skills that we know will make a huge difference to our society and I’m sure we’ll talk about that a lot more but for me personally when we.

AI it’s not only about the opportunities but it’s also about the challenges and I think those countries who proactively engage.

With the issues of bias in artificial intelligence regulation ethics will actually ultimately end up leading the charge and I’m really pleased that UK the UK and Singapore have collaborated so closely on these issues and I hope that we continue to do so and so in the UK.

We have the Center for data ethics for example and in Singapore we have the AF AI ethics Council and there’s a huge flow of both businesses academics and government officials who are coming backwards and forwards and talking about these issues so I think it’s probably not a more important issue in the tech sector at the moment but as I say I think those countries who will.

Really lead the charge are the ones who are up for talking about moat both the opportunities and the challenges maybe in your certainly leading the charge in the UK with amplify and we’ll get your mic maybe just share some of the challenges you’re seeing and some of the innovations happening and also.

Obviously our focus today is around skills workforce as well so perhaps.

Thread somebody in and what I’m asking also the panelists here to sort of actively contribute through the discussion and so I don’t talk.

So in terms of challenges that we faced in amplify a is we’re startup so awfully lack of money which affects every startup but in terms of deploying our technology I guess there’s two factors that kind of most AI startups and companies face there’s a technical challenge and then there’s a human challenge so the technical challenge primarily for certainly what we’re involved in which is machine learning is lack of data the bigger the data set the bigger the training set the.

More the machine can learn the.

Better the machine can learn the higher quality the results it will give you our technology actually delivers leverages open source content from the internet so we we’ve circumvented that challenge might basically going to the internet which is the largest data set you could ever hope to.

Access in the first instance so we’ve solved that challenged the second challenge is the human challenge the user challenge and this is kind of twofold first is it’s about getting the users trust so there’s.

A lot of AI applications out there that even a developer can’t tell you how it’s got from those inputs to those outputs now if I’m a user and I’m relying on the machines outputs to.

Make a decision or a machine give them driven forecasts and I can’t all do it I’ll get at least line of sight to how it’s come to that point.

Or that decision or that recommendation those outputs then I’m.

Not going to trust the machine so overcoming trust or building trust in the machine is critical the other element as well is convincing the user that this is not.

But it’s not about putting you out of a job so amplify we’re about enhancing business intelligence and research it’s about allowing the machine to do that what it’s really good at an AI today is about collecting big data it’s.

About processing big data it’s analyzing.

Big data it’s looking for patterns across unstructured data things that humans can’t do very well the machine does that extremely well what the human is really good at is applying intuition to.

Those results deriving insights making recommendations making decisions so we’re all about not about putting people work but actually empowering them getting them to a point where they’re able to make better informed decisions so for us it’s about making you more productive and getting.

You to a point when you’re making smarter faster decisions maybe soon just in terms of reflecting on that in terms of the skill side of things it has a need to make that happen but also yes in Singapore we here so we have if.

We’ll know about us we have been preparing our workforce for the past 50 years it’s always about priests killing them it’s always about news killing them and so forth in the area of AI and the beyond AI and other various technology requirement in-demand skill set like data.

Analytics we are working very closely with I’m da we.

With even employers group to look into pre-empting work our skills need but this.

Is very actually very challenging because the employer skills is always running a hit or what the supply set can.

Do so that’s how we try to bring in together with the University and the Polytechnic to get and say that can we work closely with the employers to understand what skills what you need ahead of time so that the University the colleges can prepare adequate curriculum to help people and see how in terms of from your seat coming from the UK I guess there are sort of two ways.

That that we can sort of CAI being applied there’s.

One in which you know you have people in Oxford Cambridge Imperial ETH in Zurich you know really driving the forefront of the underlying artificial intelligence of technology and breaking new ground in in the deep tech side of things but actually.

One thing that we’ve seen over the last few years is lots of companies that are using using those technologies off-the-shelf to apply them to everyday and you know the way that can apply to skills and they said I guess the future of human work is quite interesting right on both sides so on the deep tech side.

Everyone’s always talk on the singularity and when the you know the artificial intelligence is able to compute better than the human brain I mean.

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