The research paper from CCS Insights offers a reality check for generative AI. Are the costs and risks beginning to catch up with the hype?
Following an initial surge in interest in ChatGPT when it was published in November 2022, the hoopla surrounding AI technology has lasted well into 2023. And, with new and interesting goods and features being released virtually every week, it’s easy to see why the enthusiasm has persisted.
However, according to a new assessment by CCS Insight, a global technology research group, generative AI will face a reality check in 2024 as awareness about sustaining operating expenses and reducing associated risks grows. According to the study, the first AI-based identity fraud arrest will be made next year.
Generative AI will face a reality check
OpenAI’s ChatGPT, Google Bard, and Anthropic’s Claude have demonstrated excellent capabilities in generating realistic and interesting material. They do, however, necessitate huge quantities of processing power and data to train and run.
These massive needs may come to roost in 2024. According to CCS Insight, the euphoria around generative AI will be replaced by a knowledge of the expense, risk, and complexity associated in installing and sustaining it next year.
In the words of Ben Wood, principal analyst at CCS Insight, generative AI is overhyped, and several challenges must be solved before it can be commercialised. He stated that just a few large corporations can afford to construct and employ their own dedicated AI processors to run generative AI models, whereas many other businesses and developers will find it too expensive.
The EU’s AI regulatory ambitions may be jeopardised.
in the same time, the European Union, which has been in the forefront of regulating AI and setting the standard for regulatory authorities throughout the world, will struggle to keep up with the fast-growing industry’s technicalities.
Because of the rapid rate of AI research, CCS Insight forecasts that the EU AI regulation will face issues and will need to be updated and redesigned numerous times. Currently, efforts are being made to pass the AI Act, a piece of legislation that would finally put a stop to the unbridled rise of AI. It intends to outlaw technology such as live facial recognition entirely.
AI content warnings will become more prevalent.
AI-generated content is becoming more common and accessible on the internet, but it also raises concerns about its legitimacy and quality. Artificial intelligence-generated material can be used for a variety of objectives, including entertainment, education, marketing, and disinformation. Some AI-generated content, on the other hand, may contain factual inaccuracies or biases that might mislead or harm consumers.
In a report by CCS Insight, a search engine will soon incorporate content warnings to tell consumers that the material they are watching from a specific web publisher is AI-generated rather than created by humans. According to the researchers, this will be similar to how social media companies placed information labels to posts regarding Covid-19 to counteract misconceptions about the virus. They stated that this is a crucial move to ensure confidence and transparency in the internet information landscape.
AI-based identity fraud will result in arrests.
Through speech synthesis or deepfake technologies, AI can potentially be utilised to spoof someone’s identity. Voice synthesis is a sort of generative AI that uses speech samples to make realistic audio clips of someone’s voice.
Deepfake is a sort of generative AI that uses image or video samples to make realistic video clips of someone’s face or body. These technologies can be utilised for a variety of purposes, including entertainment, education, and security. They can, however, be used for evil objectives such as fraud, blackmail, or harassment.
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