Global AI Trend 11: The 5 Biggest AI Trends In 2023
“In 2023, An ever-growing number of apps put AI functionality at the fingers of anyone, regardless of their level of technical skill. ”
– Bernard Marr, futurist and business & technology advisor
1. The Ongoing Democratization of AI
“AI will only achieve its full potential if it’s available to everyone and every company and organization is able to benefit,” says Bernard Marr, a British futurist and founder of a world-renowned think tank ‘Bernard Marr & Co.’. “Thankfully in 2023, this will be easier than ever. An ever-growing number of apps put AI functionality at the fingers of anyone, regardless of their level of technical skill.”
And if you don’t have an app that does what you need, it’s going to be easier and easier to create your own apps even if you don’t know how to code. He explains that anyone can create, test, and deploy AI-based solutions using a simple drag-and-drop or wizard-based interface.
2. Generative AI
You may think of generative AI as something like an AI tool that creates texts, pictures, and videos from text inputs. Bernard Marr gives a definition that reads “Generative AI algorithms take existing data – video, images or sounds, or even computer code – and uses it to create entirely new content that’s never existed in the non-digital world..”
One of the most well-known generative AI models is GPT-3 and its image-generating variant Dall-E, developed by OpenAI. “But in 2023, we will see it used increasingly frequently to create synthetic data that can be used by businesses for all manner of purposes. Synthetic audio and video data can remove the need to capture film and speech on video – simply type what you want the audience to see and hear into your generative tools, and the AI creates it for you!”, Mr. Marr forecasts.
3. Ethical and Explainable AI
Bernard Marr emphasizes that the ethical and explainable AI model is crucial on many levels, but that “the Most pressingly, though, it comes down to trust.” He says, “For many of the potentially most useful and powerful AI use cases, this might be very sensitive data like health or financial information” and points out that “If we, the general public, don’t trust AI or understand how it makes decisions, we simply won’t feel safe handing over our information, and the whole thing falls apart.”
Marr then explains that there will be efforts to overcome AI’s “black box” problem in the coming 2023, and those who are responsible for deploying AI systems will work harder to explain how the algorithm’s decisions are made and what information is used.
He also points out that the role of AI ethics will become increasingly important as organizations struggle to remove prejudice and injustice from automated decision-making systems.
4. Augmented Working
“In 2023, more of us will find ourselves working alongside robots and smart machines specifically designed to help us do our jobs better and more efficiently.” Bernard Marr forecasts that as smart devices are increasingly being used in retail and industrial workplaces, augmented reality (AR) headsets could be utilized in the realm of data for immediate access & analytics of data.
He adds that AI-powered virtual assistants which will not only be able to answer questions quickly, but will also be able to automatically suggest alternative and more efficient ways to achieve the business’ goals, will become prevalent in the workplace. Along this trend, “developing the ability to work with and alongside intelligent, smart machines will become an increasingly indispensable work skill” he forecasts.
5. Sustainable AI
“In 2023 all companies will be under pressure to reduce their carbon footprint and minimize their impact on the environment.” Bernard Marr says. “The race to adopt and profit from AI can be both a blessing and a hindrance”.
He goes on by saying that “AI algorithms – as well as all the infrastructure needed to support and deliver them, such as cloud networks and edge devices – require increasing amounts of power and resources.” and “At the same time, the technology has the potential to help companies understand how to build products, services, and infrastructure in a more energy-efficient way by identifying sources of waste and inefficiency”.
He concludes that efforts should be made to implement more green and renewable energy-based infrastructure to deliver “sustainable AI,” and “This year, I expect to see a continued drive towards deployment of AI initiatives aimed at tackling some of the most pressing problems facing our planet – rather than simply in pursuit of increased corporate profits”.
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