Top 4 Artificial Intelligence trends for 2023
Next year, AI will continue to develop and be utilized by more businesses, from a new algorithm law to combat hiring bias in New York City to the growth of generative tools and technologies.
What Artificial Intelligence actually is?
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Artificial intelligence is a field that combines computer science and substantial datasets to facilitate problem-solving. Additionally, it includes the branches of artificial intelligence known as deep learning and machine learning, which are frequently mentioned together. These fields use AI algorithms to build expert systems that make predictions or categorize information based on input data.
Artificial intelligence (AI) is the simulation of human intelligence in devices that have been designed to behave and think like humans. The phrase can also be used to refer to any machine that demonstrates characteristics of the human mind, like learning and problem-solving.
The ability to reason and take actions that have the best chance of achieving a specific goal is the ideal quality of artificial intelligence. Machine learning (ML), a subset of artificial intelligence, is the idea that computer programs can automatically learn from and adapt to new data without human assistance. Deep learning techniques allow for this automatic learning by ingesting vast quantities of unstructured data, including text, images, and video.
Every day, new AI systems are learned and used by businesses and end users, changing the AI landscape.
In 2023, the widespread acceptance of AI models will only grow. The coming year should bring about these four trends.
New York will enact an Artificial Intelligence bias law on January 1st, though the city won’t begin enforcing it until April.
Employers are effectively forbidden by law from using algorithms and artificial intelligence (AI) without first vetting the tools for bias.
Users of the tools are required to conduct an audit bias or request that an impartial agency examine the model for discrimination.
At the AI Summit in New York in early December, Minerva Tantoco, Chief AI Officer at the NYU McSilver Institute for Poverty Policy and Research, stated, “This is the very first implementation of a law that actually requires a biased audit of a specific technology.”
She cautioned, however, that “there’s a lot of work to be done” on the computational definition of fairness.
According to Krishnaram Kenthapadi, chief scientist at Fiddler AI, a machine learning vendor that offers model monitoring and explainable AI throughout the MLOps lifecycle, the law was passed as many businesses began using video-based hiring.
Even though the law only applies to New York, Kenthapadi predicted that it would serve as a model for many employers outside of the country’s largest city. According to him, this will set a precedent and compel audits from employers and any organizations using similar tools.
2. Using Artificial Intelligence tools to assist team members at work
Businesses honed their use of AI technology to enhance the employee experience in 2022. The following year is probably going to be the same.
Conair’s divisional CIO, Dara Meath, stated in an interview at the AI Summit that using AI technology to train internal team members is a trend the appliance manufacturer plans to carry on in the upcoming year.
For our internal teams, “we do a lot in the natural language processing space,” Meath said. “So we can assist in their reeducation,” This entails utilizing tools like chatbots to assist team members in effectively carrying out their duties.
The giant in consumer goods, Unilever, is attempting to envision how digital twin technology might benefit its workforce.
According to chief enterprise and technology officer Steve McCrystal, the intention is to create an identical copy of the employee who can assist them with routine tasks.
What must they do in order to succeed every day, and what are the obstacles that might stand in their way? asked McCrystal.
Can we use our automation factory to make an exact replica of what they must do to handle administrative tasks so they can concentrate on the day job they must complete?
3. The ongoing popularity of generative Artificial Intelligence
In 2022, the use of generative AI tools like Dall-E, Stable Diffusion, and Chat GPT skyrocketed. That will probably continue in 2023.
According to Jon Moore, head of the engineering project and program management at Cohere.ai, text generation at scale could overtake AI-generating art as the most significant application in 2019.
Through its API, Cohere gives businesses and organizations access to extensive language models and NLP tools. According to Moore, creating text for businesses can involve anything from creating product descriptions on a large scale to having a conversation with someone to understand a problem.
You’ll see a lot of NLP [natural language processing] producing helpful texts and responses at a scale that humans couldn’t match, according to Moore. The development of AI-generated multimedia will receive more attention than text generation, according to Chirag Shah, a professor at the University of Washington’s information school.
Shah said, “We’re definitely building more things, and with version 2.2, Stable Diffusion, and Imagen, another generative AI system, we’ll see even more use of Dall-E.”
With tools like Meta’s Make-a-video model, people will also start creating videos using AI.
4. The metaverse and avatars
Even if they weren’t yet widely used by businesses in 2022, avatars and the metaverse received a lot of attention and kept moving into the gaming industry. Shah predicted that this would probably continue in 2023.
Shah suggested that there might be increased interest in creating avatars with movements and facial features with the advent of avatars created by apps like Lensa AI.
Imagine it rendered in 3D with movement and facial expression, he suggested. “I wouldn’t be shocked if we discovered that it wasn’t just about taking a single headshot of me, but also about how I express my various emotions. now that my VR avatar looks more realistic.