AI/ML in 2022: More Real-World Deployments, Focus On AI Ethics and Blockchain Hopesby@cerniauskas
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AI/ML in 2022: More Real-World Deployments, Focus On AI Ethics and Blockchain Hopes

by Julius ČerniauskasJanuary 20th, 2022
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Oxylabs AI & ML Advisory Board members predict what to expect in 2022. Pujaa Rajan, Gautam Kedia, Ali Chaudhry and Jonas Kubilius predict the future of artificial intelligence and machine learning in the real world. The board consists of 5 members: AI experts from UCL, Stripe, Three Thirds, UCL and Stripe. The Board also includes experts from NASA, MIT, MIT and UCL's MIT Institute of Technology (MIT) and University College London.

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Artificial intelligence (AI) and machine learning (ML) are maturing from the tech world’s favorite buzzwords to indispensable solutions for real-world problems. What to expect in terms of their development in 2022? I asked renowned industry experts and members of Oxylabs AI & ML Advisory Board - Pujaa Rajan and Gautam Kedia from Stripe, Ali Chaudhry from University College London, and AI researcher Jonas Kubilius to share their views.

Where AI Meets Blockchain

Pujaa Rajan, Machine Learning Engineer at Stripe, believes that some of the most interesting new developments will be where AI meets blockchain technology. 

According to her, the advent of Web3 and crypto will have an interesting intersection with artificial intelligence in 2022. AI and blockchain together have applications in finance, healthcare, and more. 

“Blockchain has the potential to give people the power to manage data privacy and security. Imagine a world where you own your data and/or algorithms, control its transparency, and maybe even get paid for your data. Currently, a lot of AI applications do not run on the blockchain because of latency issues and data centralization. However, advancements in both fields could change this in 2022”, - Pujaa says.

Machine learning expert predicts that we may start to see decentralized artificial intelligence in the new decentralized web.

“In this new world, machines may make decisions on data around the world independently without the middleman or middlewoman. While I don’t think we’ll get this advanced in one year alone, we still need to be aware of the perpetuation of any existing biases in Web3 while we are still building the foundation of this new world”, - Pujaa argues.

Gautam Kedia, Machine Learning Engineering Manager at Stripe has similar hopes for Web3: “In my view, Web3 will likely release its first killer application”, - he says.

Natural Language Processing Going Mainstream

Jonas Kubilius, Co-founder and senior AI engineer at Three Thirds, expects to see the continued emergence of tools for managing various aspects of ML/AI infrastructure and operations.

“With this ecosystem maturing, more ML/AI solutions will be successfully deployed at scale and start bringing value to customers. Personally, I'm really hoping to see content generation and speech-to-text and text-to-speech products going mainstream”, - Jonas says.

Ali Chaudhry, a researcher at University College London, seconds these predictions:

“Considering the increased accuracy of Natural Language Processing (NLP) techniques in recent years, we will see a rise in NLP powered tools and apps. Reinforcement Learning will continue to play an important role in AI breakthroughs and real-world deployments”, - Ali says.

Meanwhile, Gautam Kedia believes that some of the industries where we could see AI breakthrough will be the health industry and transport: “AI will be more widely used in medical developments. Self-driving robotaxis will start challenging traditional rideshare”, - he says.

Focus on AI ethics

On the other hand, Ali Chaudhry believes that in 2022 we will see more regulations specifically targeting AI systems deployed in the real-world. Companies will be required to share more information on how they build AI systems and what are their limitations.

“Last year I predicted more real-world AI failures and we have recently seen Zillow’s AI debacle along with Facebook stepping back from facial recognition systems. This trend may unfortunately continue in 2022 as well, as we see more AI failures in real-world deployments”, - Ali says.

He adds that there will be more publications on AI ethics by the industry and academia as well. We will also see a great influx of talent in the data science and artificial intelligence fields to meet the growing needs of companies becoming data-driven and AI-ready. 

Oxylabs AI & ML Advisory Board comprises leading figures in the machine learning, AI, and data science industries, many of whom have experience working for highly reputable organizations such as NASA, Massachusetts Institute of Technology (MIT) and UCL. The Board consists of 5 members: AI researchers Ali Chaudhry from University College London and Jonas Kubilius from Three Thirds, Pujaa Rajan and Gautam Kedia from Stripe, and renowned data science consultant Adi Andrei. The board supports Oxylabs commitment to innovation providing expertise and guidance on new technology developments.