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The hype surrounding AI technology has continued well into 2023 following the initial explosion in interest in ChatGPT when it was released in November 2022. And with new and exciting products and features being launched almost every week, it’s understandable why the hype has kept up.
However a new report by CCS Insight – a global technology research firm – has suggested that generative AI will face a reality check in 2024 when awareness about sustaining the running costs and mitigating associated risks will rise. The report has also predicted that an arrest for the first AI-based identity fraud will be made next year.
Intrigued? Let’s take a look at the top predictions.
Generative AI models including OpenAI’s ChatGPT, Google Bard, and Anthropic’s Claude have shown impressive capabilities in generating realistic and engaging content. Still, they also require massive amounts of computing power and data to train and run.
These colossal requirements may come home to roost in 2024. CCS Insight predicts that generative AI will face a reality check next year, as the hype around it will be replaced by the awareness of the cost, risk, and complexity involved in deploying and sustaining it.
Ben Wood, chief analyst at CCS Insight, told CNBC that generative AI is overhyped and there are many obstacles that need to be overcome to bring it to market. He pointed out that only a few large companies can afford to design and use their own specialised AI chips to run generative AI models, while many other organisations and developers will find it too expensive.
At the same time, the European Union, which has been at the forefront of regulating AI and setting the benchmark for regulatory bodies around the world, will actually find it hard to keep up with the technicalities of the fast-growing industry.
CCS Insight predicts that the EU AI regulation will encounter difficulties and will have to be revised and redrawn multiple times due to the fast pace of AI development. Currently, work is underway to pass the AI Act, a piece of regulation that would finally put under check the unfettered growth of AI. It’s set to ban tech like live facial recognition altogether.
AI-generated content is becoming more prevalent and accessible on the internet, but it also poses challenges for verifying its authenticity and quality. AI-generated content can be used for various purposes, such as entertainment, education, marketing, or misinformation. However, some AI-generated content may contain factual errors or biases that can mislead or harm users.
CCS Insight predicts that a search engine will soon add content warnings to alert users that material they are viewing from a certain web publisher is AI-generated rather than made by people. The analysts said that this will be similar to how social media platforms added information labels to posts related to Covid-19 to combat misinformation about the virus. They said that this will be a necessary step to ensure trust and transparency in the online information landscape.
AI can also be used to impersonate someone’s identity, either through voice synthesis or deepfake technology. Voice synthesis is a type of generative AI that can create realistic audio clips of someone’s voice based on their speech samples. Deepfake is a type of generative AI that can create realistic video clips of someone’s face or body based on their image or video samples. These technologies can be used for various applications, such as entertainment, education, or security. However, they can also be used for malicious purposes, such as fraud, blackmail, or harassment.
CCS Insight predicts that police will make their first arrest of a person who uses AI to impersonate someone in 2024. The analysts said that this will be a new form of identity fraud that will exploit the vulnerability of people’s online identities. They said that this will require new methods of detection and prevention to protect people from being victimised by AI-based identity fraud.
As we enter 2024, we can expect to see more developments and debates around the future of AI and its impact on various domains. CCS has a clean track record when it comes to predictions, but of course, it’d be wise to take things with a pinch of salt, especially considering the fact that the AI landscape is such a rapidly evolving one.
