The AI landscape changes daily, with enterprises and end users continually learning and using new AI systems.
The widespread popularity of AI models will continue to build in 2023. Look for these four trends in the coming year.
On January 1st, an AI bias law will go into effect in New York, although the city won’t start enforcing it until April.
Effectively, the law prohibits employers from using AI and algorithm-based technologies to recruit, hire or promote without checking the tools for bias.
Those using the tools must conduct an audit or have an independent agency check the discrimination model.
“This is the first implementation of a law that actually requires biased scrutiny of a specific technology,” said Minerva Tantoco, chief AI officer at NYU’s McSilver Institute for Policy and Poverty Research, during a discussion at the AI Summit in New York. in early December.
But “there’s a lot of work to be done on what the computational definition of fairness is,” she said.
The law comes as many companies are starting to use video-based hiring, said Krishnaram Kenthapadi, chief scientist at Fiddler AI, a machine learning vendor that provides model monitoring and explainable AI throughout the MLOps lifecycle.
Although the law is limited to New York, it is likely to set an example for many employers outside the nation’s largest city, Kenthapadi said.
“This will be a trend-setting precedent and will force employers and any organizations that use such tools to carry out such audits,” he said.
2. Using AI tools to help work team members
In 2022, enterprises paid attention to how they used AI technology to improve the employee experience. This is likely to continue in the next year.
Dara Meath, divisional CIO at Conair, said in an interview at the AI Summit that a trend the appliance manufacturer plans to continue into next year is using AI technology to educate internal staff.
“We do a lot within the natural language process space for our internal teams,” Meath said. “So we can help them re-educate.” This means using tools like chatbots to help team members do their jobs effectively.
Minerva TantocoChief AI Officer, NYU McSilver Institute
Unilever, the consumer goods giant, is trying to imagine how it can use digital twin technology to help employees.
The goal is to make a few employees who can help them through everyday tasks, said chief enterprise and technology officer Steve McCrystal.
“What do they have to do to win every single day and what can get in the way of that,” McCrystal said. “Can we create, through our automated factory, a few of the things they need to do to take care of administrative tasks so they can focus on the day-to-day work they need to do?”
3. The continued pursuit of AI generation
Genetic AI exploded in 2022 and tools such as Dall-E, Stable Diffusion and Chat GPT, among others, became popular.
That is likely to continue in 2023.
While AI-generated art will no doubt be a big application, text generation at scale could take center stage next year, said Jon Moore, project leader of engineering and program management at Cohere.ai.
Cohere provides enterprises and organizations with access to large language models and NLP tools through its API.
Text generation for enterprises can be anything from generating product descriptions at scale to having a conversation with someone to understand a problem, Moore said.
“You will see a lot of NLP [natural language processing] generating helpful responses, generating helpful texts on a scale that humans couldn’t do,” Moore said.
Beyond text generation, there will be more push toward AI-generated multimedia, said Chirag Shah, a professor in the information school at the University of Washington.
“We’re definitely building more stuff,” Shah said, adding that we’ll see even more use of Dall-E with version 2.2, Stable Diffusion and Imagen, another generative AI system.
People will also start using AI to generate videos, with tools like Meta’s Make-a-video model.
4. Avatars and the metaverse
In the year 2022, avatars and the metaverse became a lot of publicity, if not widely used by enterprises, and continued their march into gaming. That is likely to continue in 2023, Shah said.
With the introduction of avatars generated in apps like Lensa AI, Shah said there could be more interest in generating avatars with movements and facial features.
“Imagine it being rendered in 3D with facial expression, movement,” he said. “I wouldn’t be surprised if we find things that are not just creating one of me but also the way I express my different emotions. So now my VR avatar looks much more realistic.”