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Will the Generative AI Frenzy Cool in 2024?
Will the Generative AI Frenzy Cool in 2024? Four Bold AI Predictions
According to a CCS Insight report, does generative AI need a reality check? What costs and risks lurk beneath the excessive hype and attention?
A CCS Insight report suggests that in 2024, generative AI will need to face reality, with growing awareness of high costs and risks.
EU AI regulation is predicted to struggle to keep up with rapid AI development.
Search engines are expected to start warning users about content generated by AI.
As AI-based identity fraud increases, the first arrest is predicted to occur in 2024.
CCS's Predictions Have a Track Record, but Should Be
CCS's predictions have a track record, but should be received cautiously given the rapidly evolving AI landscape.
The report suggests EU AI regulation may face turbulence. (Express image/from Bing Image Creator)
By: Tech Desk, New Delhi | New date: October 10, 2023 22:15 IST © IE Online Media Services Pvt Ltd, First published: October 10, 2023 20:24 IST
The explosion of interest from ChatGPT's November 2022 release has continued through 2023. With new products and features appearing almost every week, it is understandable that attention continues.
However, according to a new report from CCS Insight, an international technology research firm, 2024 will be when generative AI faces reality. It is a time of growing awareness about maintaining operational costs and mitigating associated risks. The report also predicts that the first arrest for AI-based identity fraud will occur next year.
Interesting. Let's look at the main predictions.
OpenAI's ChatGPT, Google Bard
OpenAI's ChatGPT, Google Bard, and Anthropic's Claude are generative AI models that have demonstrated impressive capabilities in generating realistic and compelling content. However, training and running these models requires enormous computational power and data.
These massive requirements may surface as real-world problems in 2024. CCS Insight predicts that next year, when the hype is replaced by awareness of cost, risk, and complexity, generative AI will face reality.
CCS Insight Chief Analyst Ben Wood told CNBC that generative AI is overhyped and there are many barriers to overcome to bring it to market. He noted that only a small number of large companies can design and use dedicated AI chips to run generative AI models, while it is too expensive for many other organizations and developers.
#2: EU AI Regulatory Plans May Waver
At the same time, the European Union, which sets the benchmark for regulators worldwide and has placed AI at the forefront of regulation, will find it increasingly difficult to keep up with the technical aspects of the rapidly growing industry.
CCS Insight predicts that EU AI regulation will face difficulties and be revised and redrawn multiple times due to the rapid development of AI. Currently, work is underway to enact an AI Act, which is expected as a regulation to check uncontrolled AI growth. This act is set to completely ban technologies such as live facial recognition.
#3: AI Content Warnings Become Common
#3: AI Content Warnings Become Common
AI-generated content is becoming common on the internet, but verifying its authenticity and quality is difficult. AI-generated content may be used for entertainment, education, marketing, or misinformation. However, some AI-generated content may contain factual errors or biases that could mislead or harm users.
CCS Insight predicts that search engines will soon add content warnings alerting users when material from certain web publishers was generated by AI rather than created by people. Analysts said this would be similar to what social media platforms did by adding information labels to COVID-19-related posts to combat misinformation about the virus. They said this is a necessary step to ensure trust and transparency in the online information landscape.
#4: AI-Based Identity Fraud Leads to Arrest
#4: AI-Based Identity Fraud Leads to Arrest
AI can also be used to impersonate someone's identity through voice synthesis or deepfake technology. Voice synthesis is a type of generative AI that can create realistic audio clips of a person's voice based on samples of them speaking. Deepfakes are a type of generative AI that can create realistic video clips based on image and video samples of someone's face and body. These technologies can be used in various applications including entertainment, education, and security. However, they may also be used for malicious purposes such as fraud, blackmail, and harassment.
CCS Insight predicts that in 2024, someone who uses AI to impersonate another person will be arrested for the first time. Analysts say this will be a new form of identity fraud that exploits vulnerabilities in people's online identities. They say new methods of detection and prevention will be needed to protect people who become victims of AI-based identity fraud.
As We Enter 2024, Further Developments and Discussions Are Expected
As we enter 2024, further developments and discussions regarding the future of AI and its impact on various domains are expected. CCS has a clean track record on predictions, but of course, given the reality that the AI landscape is evolving rapidly, it would be wise to take things with a little caution.
Image reference: https://images.indianexpress.com/2023/10/disappointed-ai-featured.jpg?w=640
This AI news is produced by the online assistant service "TIMEWELL."
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