AI in 2024: Five trends workers need to know

Topic: AI in 2024: Five trends workers need to know

The influence of artificial intelligence stands to make an even bigger impact this year in areas including hiring bias, inclusivity, regulation and more.

As much as 2023 marked a turning point for artificial intelligence, AI is poised to make an even bigger impact in 2024. Yet this time, workers are ready.

Now that generative AI has been on employees’ radars for more than a year, they’re not only better positioned to understand its place in the contemporary work landscape, but also equipped to embrace the changes and possibility that comes with it.

It’s time to put that advantage to use. To get ahead, workers should know what’s coming in the AI space, including these five trends that are poised to impact the year.

  1. AI will encourage widespread inclusivity

Artificial intelligence is likely to become a powerful tool for workers with disabilities – and those advances could drive change for all people.

First, many machine-learning tools developed to benefit disabled workers could become increasingly available, believes Victor Santiago Pineda, director of the Inclusive Cities Lab at UC Berkeley, US. Think, for instance, algorithm-based speech-to-text and text-to-speech tools that provide additional information to visually- and hearing-impaired users, respectively.

“AI-powered assistive technologies have the potential to break down barriers and empower individuals with disabilities, fostering a sense of independence and inclusion,” he says.
He believes the mainstream adoption of tools meant to assist disabled people can also benefit everyone. For example, as large language models continue to refine real-time, multilingual closed captioning, all people will have access to a wider and more diverse range of information.

  1. AI will make hiring – and layoff – processes more equitable

Human-resource professionals are already prepared to use artificial intelligence in the hiring process to create a more equitable hiring landscape, but the current technology is far from perfect. In response, academics and industry experts are working to reduce algorithmic bias on electronic hiring platforms and other HR tools through AI.

Some experts are already prioritising these goals. The Hire Aspirations Institute, led by Cynthia Dwork, professor of computer science at the Harvard John A Paulson School of Engineering and Applied Sciences, is focused on identifying bias in screening tools and the professionals who use them.

Topic AI in 2024: Five trends workers need to know

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