Tuesday, January 19, 2021
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How is the AI landscape likely to be in 2030

Between wildly speculating sci-fi movies to speech recognizing voice assistants and computer vision, AI has come a long way. But that does not mean we cannot look into the future and make some more educated guesses or speculations. Artificial intelligence is a futuristic technology, it is only fair if we take a look at its future. 

Spoiler alert! This study clearly lacks the fantastic element. Technological advancement waits upon society to accept it and move with it. So, if you are expecting some crazy changes in the world in the next ten years, you will be disappointed. However, if you are an engineer working out of Delhi who is planning a career in AI or maybe looking for some artificial intelligence course in Gurgaon or somewhere around the NCR, you might actually be thrilled. Here are some predictions by technology experts.

1. Machine companionship maximized

Judith Donath from Harvard University’s Berkman Klein centre for Internet and Society thinks that we will be more dependent on bots for humane decisions than ever. She predicts that parents will have bots at home to help their children with their homework. Bots will organize and lead meetings at work. People will count on bots to decide what to wear and even while choosing a partner. AI-based augmentation of various computational tasks is already a popular notion. We are probably looking at a future when the ‘human’ sentiments are quantified too.

2. Redefining the economy with AI

Erik Brynjolfsson, director of MIT’s digital economy initiative, thinks that artificial intelligence and machine learning can be used to practically abolish poverty from the face of the earth; mitigate diseases, and provide education for all. Yes, the power of data analysis unlocked by machine learning along with the empirical allocation of resources done with the help of technology can radically transform the economy for the better. However, Brynjolfsson also expresses his fear that the same technology can be used to achieve the complete opposite – further marginalization of the economically backward.

3. Introduction of arbitrariness at wrong places

What seems arbitrary to us can be indeed a mathematical choice made by a computing device. Andrew McLaughlin, executive director of the centre for innovative thinking, Yale University, thinks that the use of AI in human capital management, insurance, and banking will introduce arbitrary penalization of people based on data. A lot of discriminative properties can be hidden under the data-driven, empirical, decision making of AI. For instance, an AI-based hiring application recently had some spotlight as its algorithms factored the gender of the job applicants as a determining category for gender-neutral jobs (that is almost all jobs). 

4. We will need hybrid workforces

Amy Webb, a professor of strategic foresight, sheds light on some pretty serious changes that the job market may undergo. She predicts that farmers will need to work with large data sets. Biologists will need electrical engineering skills. The workforce will have to be reskilled every few years to stay up to date with technological advancements. She thinks the universities and policymakers lack the foresight required to take proactive measures.

5. Boosting productivity with AI

According to Robert D. Atkinson, the president of the IT and Innovation Foundation, AI is going to boost productivity across the globe. We are already aware of augmentative technologies that are transforming supply chains in different industries. There will be a thorough productivity boost.

6. Wholesome healthcare

Greg Shannon from Carnegie Mellon University thinks that AI will facilitate the underserved sects of society with better and cheaper healthcare. Remote healthcare will be more easily available and affordable. The healthcare applications that nudge us towards healthier choices will be common. Ai will be used to predict impending heart diseases and strokes.

7. Manipulation of reality

Author and researcher Thad Hall think, with rapid advancement in deep learning the world will be flooded by fake videos, and media powered by a deep fake. This will complicate the very concept of reality. The credibility of visual evidence of reality will be nullified.

Also Read: Artificial intelligence: Impact on the World

These were some of the many predictions made by futurists and technology experts across the world about the future of artificial intelligence. The most important takeaway is the realization of the necessity of adapting to the changing situation and adopting AI skills in the mainstream of education. 2030 is not too far away from now. We have been witnessing societal changes propelled by artificial intelligence for some time now, we will have to be ready to accept these changes on a larger scale.    

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