10 Ted-talks To Give You Perspective About Our Upcoming AI-Influenced Society

 

 

Like it or not, we are heading towards a society that will be deeply influenced hinged on dependance with AI. While there are many Ted-talks out there talking about the technological impact of AI, given below is a list of 10 videos that talk about the sociological repercussion.

How deepfakes undermine truth and threaten democracy-Danielle Citron

Deepfake technology lets people make false but persuasive images, videos and voice recordings of others. As law professor Danielle Citron explains, these highly convincing digital counterfeits can erode the truth. And if you can’t trust your own eyes and ears, you may begin to lose faith in governments, institutions and other people.

A bold idea to replace politicians – César Hidalgo

César Hidalgo has a progressive proposal for mending our tottering political system; automate it. In this provocative talk, he outlines a bold idea to bypass politicians by empowering citizens to create personalized AI representatives that participate directly in democratic decisions. Explore a new way to make collective decisions and expand your understanding of democracy.

The pharmacy of the future? Personalized pills, 3D printed at home – Daniel Kraft

We need to change how we prescribe drugs, says physician Daniel Kraft: too often, medications are dosed incorrectly, cause toxic side effects or just don’t work. In a talk and concept demo, Kraft shares his vision for a future of personalized medication, unveiling a prototype 3D printer that could design pills thatadapt to our individual needs.

How AI can save our humanity – Kai-Fu Lee

Conversations on AI often trigger doomsday thinking, but Kai-Fu Lee offers a more positive outlook. Lee, an innovator in the field of AI, blends gentle humor with heartfelt accounts of his experiences, which include his passage through cancer into remission and a new perspective on life. His position as an investor in Chinese technology firms also provides an insider’s take on the dawn of AI.

How to get empowered, not overpowered, by AI – Max Tegmark

MIT professor Max Tegmark subscribes to the latter school of thought, but he cautions that AI developers must imbue their flourishing technology with the right values and safeguards to ensure that AI will act in the interest of humanity as a whole.

Can we build AI without losing control over it? – Sam Harris

In this Ted Talk, Neuroscientist Sam Harris speaks to the dichotomy of our enthusiasm quest toward artificial superintelligence while we knowingly ignore the perils that await us at our desired destination. It is a frightening yet intriguing conversation about where we are going with AI.

What happens when we take humans out of work? – Tomer Garzberg

AI will take our jobs—and that is a good thing, argues Tomer Garzberg. He tells how intelligent robots are already supplanting people, freeing us to imagine new roles for ourselves, and also surveys endeavors that are likely to remain human for some time to come.

 

How we’ll earn money in a future without jobs – Martin Ford

Futurist Martin Ford says intelligent machines will replace humans throughout the workforce, causing widespread unemployment and rattling the economy.

The incredible inventions of intuitive AI – Maurice Conti

What do you get when you give a design tool a digital nervous system? Computers that improve our ability to think and imagine, and robotic systems that come up with radical new designs for bridges, cars, drones and much more — all by themselves. Take a look of the Augmented Age with futurist Maurice Conti and preview a time when robots and humans will work side-by-side to accomplish things neither could do alone.

 

How AI can enhance our memory, work and social lives – Tom Gruber

Tom Gruber is the co-creator of Siri, so he knows what he’s talking about. He takes a more positive view of the advances in AI and how it can help us enhance the way we live our day-to-day lives. He shares his vision for a future where AI helps us achieve superhuman performance in perception, creativity, and cognitive function.

AI’s Impact On The Job Market: What Kind Of Jobs Are Getting Automated Right Now?

AI began as a pursuit of human intelligence. The term itself is a representation of it. 

Although most of that quest has drifted into one sub-area of AI, Machine Intelligence. To broadly state, most of the current machine learning projects have limited domain (individually) with a large amount of data. However, they execute relatively simple tasks and are not very creative. 

Effectively, we have ended up creating machines that can solve some problems better than us, but they are nowhere close to us when it comes to “intelligence.” These AI-enabled machines are doing tasks that were being done before but in a more efficient manner. 

However, this doesn’t mean that machines aren’t taking away our jobs by these kinds of AIs. To start off with, it will mostly be routine jobs that are going to be replaced. In the near future, it won’t be the entire workforce, but surely 50-80% of jobs in multiple domains are capable of being automated. This is a significant number to shake up the entire workforce. 

When we think of routine jobs, there is a prevalent misconception that only blue-collared jobs like assembly lines or physical jobs that don’t require a high level of dexterity (like fruit picking and dishwashing) will get automated. However, it is likely that routine white-collar jobs are going to be automated.

Think of it, to replace white-collar workers, all you need is a piece of software but to replace a blue-collar worker; you need robotics, mechanical excellence, ability to deal with dexterity and the potential to navigate unknown environments. 

Some of the white-collar jobs like back offices where basic search and management of data takes place can already be replaced by advanced ML tools. Tasks that don’t require strategic decision makings like dealing with new employee orientation, simple computer programming, and copy-pasting stuff, can be done by AI.

In the next 5 years, the number of jobs lost, both white and blue-collar will be modest. However, it will increase exponentially after that when the technology improves and adoption increases.