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5 must-see TED videos about responsible AI and machine learning

Posted by Ditto on Feb 5, 2020 8:15:00 AM

With thousands  of TED talks to choose from, it can be hard to figure out which ones are worth a watch. They all tend to sound inspiring, but some have more weight than others. For talks about tech like AI, relevancy is also key. The conversations move quickly in this sector because the technology is constantly evolving and overcoming new challenges.

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Here are five recent (at the time of writing) TED talks about AI and machine learning that can help businesses become more responsible.

Can we protect AI from our biases? - Robin Hauser

This video is an excellent place to start the conversation. It runs through poignant examples of bias and unconscious bias in data sets, and how this creates the issue know as ‘garbage in, garbage out.’ At the end, Hauser, a documentary film-maker, impresses on the audience the urgent need to address bias in AI, and asks the question:

‘Who’s responsible for the ethical standards of these super-computers?’

Is it governing bodies? A global charter? At the moment, it’s mostly businesses that are upholding ethical standards and their actions could determine the future of AI.

AI does food – Joel Cuello

At first, Cuello draws you in by talking about rising populations and space farming. But he then quickly dives into a detailed discussion about our collective responsibility around resources in agriculture and industry. He explains the combination of probabilities and correlations that go into the decision-making process for AI and how that compares to, and can empower, human decision-making.

Others could benefit from the lessons learned in this industry, where AI is being used to optimise human ideas for reducing waste while improving productivity.

The future of skills in the age of AI - David Timis

65 percent of the jobs that will be available to young children starting school now haven’t even been invented yet.

Businesses that want to be sustainable will need to invest in shaping their structures and training their employees to make the most of skills that will be become comparatively much more valuable in an AI-driven world. Timis takes the Finns as an example; they are changing their education system to be project-based, working around four core skills:

  • Communication
  • Collaboration
  • Creativity
  • Critical thinking

Timis adds that, as individuals and as businesses, we must be able to embrace change, be resilient, and view learning as a continuous process, throughout work and life.

Taking recruitment practices to a new level - Stefanie Stanislawski

As studies have shown an association of key words and phrases that people use with aspects of their personalities, Staniskawski’s team used these words and methods of communication to read patterns in work-related emails and chats. Their algorithm is able to chart employee behaviours and can accurately predict when someone is becoming disengaged at work. Her goal is to increase diversity and empathy in recruitment, reduce bias, and fit the right people for jobs over a long term.

How AI can save our humanity - Kai-Fu Lee

This last video combines humour and long-lived expertise from Kai-Fu Lee. His view is that AI will help us redefine our purpose as human beings, with work becoming acts of creativity, strategy and compassion, rather than anything repetitive or optimisable. He encourages responsible businesses to make room for career paths that we don’t ‘value’, today, but – because of AI – we will in the future.

He leaves us with this:

‘AI is serendipity. It is here to liberate us from routine jobs and it is here to remind us of what it means to be human.’

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Topics Future of AI Education responsible AI