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by HIDAYATH HISHAM
THE government is exploring the use of agentic artificial intelligence (AI) to ease the Malaysian Communications and Multimedia Commission’s (MCMC) online enforcement workload, after the regulator handled 345,712 harmful content cases since Jan 1.
Communications Minister Datuk Fahmi Fadzil (picture) said the volume of harmful content has placed heavy pressure on MCMC, as every takedown request still requires supporting documents and justification before it can be submitted to digital platforms.
“Each piece of content requires supporting documentation and justification explaining why it is deemed harmful. According to MCMC, each complaint takes, on average, from 30 to 45 minutes to process and file with the relevant platforms,” he told the Dewan Rakyat today.
Fahmi was replying to a supplementary question from Ampang MP Rodziah Ismail on whether the government would increase MCMC’s manpower, technical expertise and funding to match its expanded responsibilities under new online safety laws.
Based on 30 minutes per case, he said the workload was equivalent to 19.7 years of continuous processing time.
He instructed MCMC to review its processes to ensure its human resources are not overstretched or wasted.
But he said the issue does not rest with MCMC alone, as digital platforms must also take greater responsibility in detecting and removing harmful content more efficiently.
“For example, of the total figure I mentioned, 91% relates to gambling and scams,” he said.
Fahmi said such content is often generated repeatedly and promoted through paid advertising systems, making enforcement more difficult when platforms fail to act quickly.
He said the Online Safety Act and related subsidiary regulations are aimed at strengthening platform accountability, including by requiring harmful content to be removed more efficiently and automatically.
On the use of AI, Fahmi said both regulators and platforms must adopt the technology to manage online harms at scale.
He said platforms have already used AI to detect content that violates community guidelines, but enforcement gaps remain.
“Previously, ByteDance itself used AI to detect violations of community guidelines. However, we observe that platforms still struggle to effectively use AI to remove harmful content,” he said.
Fahmi said this showed the need for both sides to improve their use of AI, with platforms strengthening detection and removal systems while MCMC uses the technology to manage enforcement more efficiently.
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