philip lelyveld The world of entertainment technology

10 AI Predictions For 2022

4) Powerful new AI tools will be built for video.

...Expect to see a blossoming of AI tools for video in 2022, from video search to video editing to video generation. In the latter category, Synthesia’s $50M Series B raise earlier this month is a (both exciting and unnerving) sign of things to come. ...

5) An NLP model with over 10 trillion parameters will be built.

In 2021, the trillion-parameter barrier was broken by models from Google (1.6 trillion parameters) and the Beijing Academy of Artificial Intelligence (1.75 trillion parameters).

Expect this hockey-stick growth in the size of large language models to continue next year. There is a good chance that 2022’s largest model will come from OpenAI and be named GPT-4.

6) Collaboration and investment will all but cease between American and Chinese actors in the field of AI.

7) Multiple large cloud/data platforms will announce new synthetic data initiatives.

Getting the right data is the most important and the most challenging part of building AI products today. Synthetic data offers compelling advantages over the status-quo approach of collecting and labeling real-world datasets.

Likely candidates: Amazon Web Services, Microsoft Azure, Google Cloud Platform, Unity Technologies, Scale AI

8) Toronto will establish itself as the most important AI hub in the world outside of Silicon Valley and China.

9) “Responsible AI” will begin to shift from a vague catch-all term to an operationalized set of enterprise practices.

... A growing movement has emerged to advocate for the responsible use of AI, led by researchers like Timnit Gebru, Joy Buolamwini and Cathy O’Neill. 

2022 is the year that this will begin to change, as responsible AI practices and toolkits become productized and operationalized. These products will come both from tech giants (e.g., Microsoft, IBM) and from newer startups (e.g., Parity, Fiddler Labs). Over time, responsible AI practices will shift from “nice-to-have” efforts within forward-thinking organizations to standard practice across industries. 

Regulation will provide an important impetus: see, for instance, the E.U.’s proposed Artificial Intelligence Act and New York City’s new law mandating audits for companies that use AI in hiring decisions (the first of its kind)...

10) Reinforcement learning will become an increasingly important and influential AI paradigm.

In reinforcement learning, the AI is not trained on historical real-world data; it is not given the “answer key” and told what to pay attention to, as in supervised learning. Instead, it is allowed to open-endedly explore its environment, learning about the world as it goes, guided only by a particular objective that it seeks to optimize for.

Reinforcement learning powered DeepMind’s landmark AlphaGo triumph. Increasingly, it is being used by researchers and startups at the bleeding edge of AI to unlock unprecedented AI capabilities, from recommendation engines to robotics to autonomous vehicles and beyond.

See the full story here: https://www.forbes.com/sites/robtoews/2021/12/22/10-ai-predictions-for-2022/?sh=3cdb5e7d482d