Why are we dubious about deep learning?

Katja Forbes

Katja is an Australian pioneer in the field of experience design and all its components.Back in 2014, Katja founded syfte, a specialist business in research and experience design acquired by Wipro in 2018. She was then appointed Australian MD of Designit. Katja was also a co-founding member of the Interaction Design Association Board (IxDA) in Sydney, helping build a community of over 1600 designers. Today, Katja is international director on IxDA’s global board. Katja is a sought-after speaker for organisations including Women In Design, Leaders in Heels, Women In Commerce, Code like a Girl, Telstra and Macquarie Bank. Katja was recognised as a Top 10 Australian Women Entrepreneurs 2018 by My Entrepreneur Magazine and one of the 100 Women of Influence by Westpac and the Australian Financial Review in 2016.

 
The prospect of deep learning gives those of us in the industry something to get really excited about, and something to be nervous about, at the same time. 

If deep learning is artificial intelligence (AI) in its true form, it doesn’t require the interference or assistance of a human at all. This is truly revolutionary, but it can also feel a little precarious – we just can’t feel completely comfortable with learning that can be completely unsupervised. 

So should we do away with machine learning in our business, and the application of artificial intelligence that provides systems the ability to automatically carry out tasks, in favour of deep learning?  

So what is deep learning anyway? Well, think of it in relation to machine learning, which describes the process of teaching a computer to carry out a task. For example, this could be setting up your email signature so that it appears automatically each time you create, or replying to an email. Effectively, deep learning is a sub-field of machine learning, which is learning done unsupervised by a human.  

Believe it or not, deep learning has been around for quite a while, just not in the business or domestic domain, and already has a headstart in areas such as recognising speech or detecting cancer, opening up a whole range of possibilities. This gives us the idea that the computer has the ability to solve a whole host of problems that couldn’t otherwise be touched.

It is a positive result of course, but what does it mean for humanity when computers are learning things we don’t have a hope of understanding?     

Normally with machine learning, when there is a problem, we just jump in and reconfigure. With deep learning, chances are we have no idea what the computer is doing wrong, let alone how it is done right. A few options are then left to us, one of which is to destroy the faulty machine altogether, in case it begins to cause damage to its environment.   

Deep learning has been compared to the human mind, in that it can learn at the same level and speed at which the mind does, and solve much more complex problems than machine learning could ever tackle. Once again, we are delving into the stuff of Hollywood movies – will computers identified as deep learners solve problems that will enrich our lives in one way or another, or will they threaten the very fabric of our existence? Do we want to introduce something so sensitive into our work environment, something that can produce some extraordinary stuff, but also has the potential to go very wrong and destroy much more than it was even created in the first place? How would this influence our business, our clients, our livelihood? Are we brave enough to take that chance?  

Realistically, deep learning is not quite as advanced as the human mind. For example, deep learning requires a lot (as in thousands) of pictures of ‘people’ to work out how to recognise a person. So it can be easily fooled.

Will this current ‘problem’ be fixed? Most likely. The benefit is most of the work is done inside its ‘mind’ with little to no input required from a human, which is of great benefit to any business obviously until it starts to reach results that are undesired.  

At the moment, machine learning is doing the job perfectly 80 per cent of the time. This means that while you may wish it could achieve more, such as not require human-power in its learning, and perhaps some more precise results, it is likely not keeping you awake at night, something that deep learning may just do.  

Perhaps it’s better to allow deep learning to be understood better, ironed out, before introducing its remarkable ability into your workplace.  

 

 

 

 

 

 

 

 

 

 

Tags: Emerging Technologies, customer experience management, deep learning, leadership, artificial intelligence

Show Comments

Featured Whitepapers

State of the CMO 2019

CMO’s State of the CMO is an annual industry research initiative aimed at understanding how ...

State of the CMO 2020

CMO’s State of the CMO is an annual industry research initiative aimed at understanding how ...

More whitepapers

Latest Videos

Conversations over a cuppa with CMO: Microsoft's Pip Arthur

​In this latest episode of our conversations over a cuppa with CMO, we catch up with the delightful Pip Arthur, Microsoft Australia's chief marketing officer and communications director, to talk about thinking differently, delivering on B2B connection in the crisis, brand purpose and marketing transformation.

More Videos

Great content and well explained. Everything you need to know about Digital Design, this article has got you covered. You may also check ...

Ryota Miyagi

Why the art of human-centred design has become a vital CX tool

Read more

Interested in virtual events? If you are looking for an amazing virtual booth, this is definitely worth checking https://virtualbooth.ad...

Cecille Pabon

Report: Covid effect sees digital events on the rise long-term

Read more

Thank you so much for sharing such an informative article. It’s really impressive.Click Here & Create Status and share with family

Sanwataram

Predictions: 14 digital marketing predictions for 2021

Read more

Nice!https://www.live-radio-onli...

OmiljeniRadio RadioStanice Uzi

Google+ and Blogger cozy up with new comment system

Read more

Awesome and well written article. The examples and elements are good and valuable for all brand identity designs. Speaking of awesome, ch...

Ryota Miyagi

Why customer trust is more vital to brand survival than it's ever been

Read more

Blog Posts

A Brand for social justice

In 2020, brands did something they’d never done before: They spoke up about race.

Dipanjan Chatterjee and Xiaofeng Wang

VP and principal analyst and senior analyst, Forrester

Determining our Humanity

‘Business as unusual’ is a term my organisation has adopted to describe the professional aftermath of COVID-19 and the rest of the tragic events this year. Social distancing, perspex screens at counters and masks in all manner of situations have introduced us to a world we were never familiar with. But, as we keep being reminded, this is the new normal. This is the world we created. Yet we also have the opportunity to create something else.

Katja Forbes

Managing director of Designit, Australia and New Zealand

Should your business go back to the future?

In times of uncertainty, people gravitate towards the familiar. How can businesses capitalise on this to overcome the recessionary conditions brought on by COVID? Craig Flanders explains.

Craig Flanders

CEO, Spinach

Sign in