By Ravi Kumar

In this Modlingua Live talk, Ravi Kumar asks what an education system built mostly on knowledge and technology should teach when machines can do more and more of the work. The video is titled "3 Critical Mistakes to Avoid When Teaching AI and Human Values" on YouTube; this page keeps the original theme of humanoids, humans and the future of education.

What the video covers

The talk starts from an observation that schools have given most of their weight to knowledge and technology for generations, while daily life has filled up with machines. From there it looks at robots, bots and artificial intelligence, and at how work may change as they become common.

The speaker's concern is that a purely knowledge-based education will not be enough once powerful tools and large amounts of data are available to everyone. He argues that planning for the future means deciding what people should still learn for themselves.

Robots, jobs and responsibility

The speaker describes meeting a humanoid robot at a leadership summit and riding a driverless metro, and uses both to discuss why machines can reduce some human errors. He also points to the other side: if machines replace drivers, restaurant staff and other workers, many people could lose their livelihoods.

These are the speaker's views and personal examples, not a forecast. Treat them as a starting point for discussion and check specific claims about technology and employment against current sources.

Teaching values alongside knowledge

The central argument is that education should give more attention to human values: care for others, teamwork, independent thinking, compassion, ethics and respect across cultures. The speaker refers to remarks by Jack Ma that children should not be taught to compete with machines, and that sports, music, painting and the arts help people develop strengths that machines do not share.

He also draws on the Indian tradition of living in balance with nature, and closes with a call to give back to society and the environment.

Questions to take away

• Which skills should a school teach when information is easy to find?
• How can teachers build teamwork, empathy and independent thinking into everyday lessons?
• What do language professionals and translators contribute that automated tools do not?

Related reading

For a Modlingua guide on language technology and machine translation, read V. N. Shukla on language technology and machine translation.