Business
Navigating Hong Kong’s New Generative AI Guidelines: Key Considerations For Businesses – New Technology
On 15 April 2025, Hong Kong’s Digital Policy Office (“DPO”) took a significant step in shaping the future of artificial intelligence (“AI”) governance with the release of the Generative Artificial Intelligence Technical and Application Guideline (the “Guideline”).
Hong Kong
Technology
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On 15 April 2025, Hong Kong’s Digital Policy Office
(“DPO“) took a significant step in
shaping the future of artificial intelligence
(“AI“) governance with the release of
the
Generative Artificial Intelligence Technical and
Application Guideline (the
“Guideline“). Developed in collaboration
with the Hong Kong Generative AI Research and Development Center,
this framework aims to balance innovation with accountability,
offering a roadmap for businesses to adopt generative AI
responsibly.
Five Dimensions of Governance
The Guideline emphasizes five pillars of ethical AI
governance:
- Personal Data Privacy: Key aspects of privacy
in AI include data collection, accuracy, retention, usage,
security, transparency, and access. Ensuring privacy and security
throughout the AI lifecycle is crucial for protecting individual
rights, maintaining public trust, and supporting the sustainable
development of the AI industry. - Intellectual Property Protection: The rapid
development of generative AI presents both opportunities and
challenges to intellectual property systems, particularly
concerning the use of copyrighted materials for AI training. - Crime Prevention: Generative AI enhances crime
prevention and control but also introduces governance challenges,
such as the misuse of deepfakes for fraud and misinformation.
Effective implementation requires ethical considerations,
transparency, and public trust to align with societal values. - Reliability and Trustworthiness: The
credibility of generative AI hinges on its ability to consistently
produce accurate and reliable results, with a robust framework
ensuring accountability for developers, operators, and users.
However, the complexity and opacity of its technical architecture
pose significant challenges to maintaining trustworthiness and
effectively addressing issues like algorithmic biases and erroneous
outputs. - System Security: System security in generative
AI is crucial to prevent unauthorized access and data compromise,
but risks like reverse attacks and data poisoning pose significant
risks. Implementing strict data verification, anomaly detection,
and secure transmission channels can help mitigate these threats
and ensure safe and stable AI operations.
Practical Guide for Stakeholders
The Guideline categorizes obligations for three key groups:
Technology Developers
- Establish a well-structed generative AI development team,
including a data team, an algorithm engineering team, a quality
control team, and a compliance team. - Develop policies on when to accept AI-generated content, such
as requiring users to doublecheck AI-generated materials, verify
references, and ensure correctness before usage. - Follow higher standards and apply independent evaluation
mechanisms from the development stage.
Service Providers
- Establish a responsible service framework to ensure service
compliance, data security, system security and system
credibility. - Develop responsible processes, including clear financial and
service security agreements, comprehensive risk assessments at
various stages of service development, small-scale pilot projects
before rolling out services on a large scale, continuous service
improvement and transparent communication with stakeholders.
Service Users
- Use generative AI services in a legal and regulated manner
while maintaining independent discretion.
- Understand responsibilities and obligations such as privacy,
security, and legal compliance before engaging with generative AI
services. Explicitly indicate whether generative AI has been used
in content generation or decision-making to ensure transparency and
accountability.
- Familiarize themselves with the privacy policies of generative
AI services regarding data protection, use and sharing before using
the services. Assess and be responsible for the content produced by
generative AI and disclose its source when making it public.
- Respect intellectual property rights and apply necessary
technical measures to avoid generating content that constitutes the
whole or substantial copying of copyrighted works to prevent
copyright disputes.
The Guideline aims to strike a balance between fostering AI
innovation and ensuring responsible deployment. It establishes a
governance framework tailored to Hong Kong’s unique
environment, addressing potential risks while encouraging the
widespread adoption of generative AI. Businesses operating in Hong
Kong should take note of the Guideline to ensure compliance and
capitalize on the opportunities presented by AI technologies.
While the Guideline does not have the force of law, it serves as
a timely reminder that the deployment and use of AI tool carries
with it a number of legal and ethical risks. In most jurisdictions
currently, AI is lightly regulated or completely unregulated. As a
fast-developing phenomenon, AI risks are different to predict,
given its broad range of potential applications. Nonetheless, the
Guideline is a useful first step in laying out some fundamental
principles to adopt in deploying or using AI tools.
The content of this article is intended to provide a general
guide to the subject matter. Specialist advice should be sought
about your specific circumstances.
Business
Company Turns To AI For Cost Cutting, Ends Up Paying US Woman Rs 1.7 Lakh To Fix Errors
“Maybe I’m being naive, but I think if you are very good, you won’t have trouble,” she expressed her views about concerns around AI. According to Skidd, AI can be an excellent tool when used correctly. Like her, there are many writers who are earning by fixing AI-generated content.
A digital marketing agency co-owner, Sophie Warner, shared a similar experience, noting how her clients were using ChatGPT for their issues first.
“Earlier, clients would message us if they were having issues with their site or wanted to introduce new functionality,” Warner said. “Now they are going to ChatGPT first.”
She said clients using ChatGPT for website code had reported issues. These include sites crashing down or leaving them vulnerable to hackers. She revealed that such a move cost one of her clients £360 (Rs 42,000) and three days of service disruption, the BBC report added.
Similar instances have occurred in the past where businesses trying to cut costs with AI have ended up paying more. In June, a Swedish fintech company, Klarna, made headlines for a similar incident. The company announced that it was organising a large-scale recruitment drive to hire staff again, two years after firing more than 700 employees to replace them with AI.
Business
AI video becomes more convincing, rattling creative industry
[NEW YORK] Gone are the days of six-fingered hands or distorted faces – artificial intelligence (AI)-generated video is becoming increasingly convincing, attracting Hollywood, artists, and advertisers, while shaking the foundations of the creative industry.
To measure the progress of AI video, you need only look at Will Smith eating spaghetti.
Since 2023, this unlikely sequence – entirely fabricated – has become a technological benchmark for the industry.
Two years ago, the actor appeared blurry, his eyes too far apart, his forehead exaggeratedly protruding, his movements jerky, and the spaghetti did not even reach his mouth.
The version published a few weeks ago by a user of Google’s Veo 3 platform showed no apparent flaws whatsoever.
“Every week, sometimes every day, a different one comes out that’s even more stunning than the next,” said Elizabeth Strickler, a professor at Georgia State University.
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Between Luma Labs’ Dream Machine, launched in June 2024, OpenAI’s Sora in December, Runway AI’s Gen-4 in March 2025, and Veo 3 in May, the sector has crossed several milestones in just a few months.
Runway has signed deals with Lionsgate studio and AMC Networks television group.
Lionsgate vice-president Michael Burns told New York Magazine about the possibility of using AI to generate animated, family-friendly versions from films such as the John Wick or Hunger Games franchises, rather than creating entirely new projects.
“Some use it for storyboarding or previsualization” – steps that come before filming – “others for visual effects or inserts”, said Jamie Umpherson, Runway’s creative director.
Burns gave the example of a script for which Lionsgate has to decide whether to shoot a scene or not.
To help make that decision, they can now create a 10-second clip “with 10,000 soldiers in a snowstorm”.
That kind of pre-visualisation would have cost millions before.
In October, the first AI feature film was released, Where the Robots Grow, an animated film without anything resembling live action footage.
For Alejandro Matamala Ortiz, Runway’s co-founder, an AI-generated feature film is not the end goal, but a way of demonstrating to a production team that “this is possible”.
Resistance everywhere
Still, some see an opportunity.
In March, startup Staircase Studio made waves by announcing plans to produce seven to eight films per year using AI for less than US$500,000 each, while ensuring it would rely on unionised professionals wherever possible.
“The market is there,” said Andrew White, co-founder of small production house Indie Studios.
People “don’t want to talk about how it’s made”, White pointed out. “That’s inside baseball. People want to enjoy the movie because of the movie.”
But White himself refuses to adopt the technology, considering that using AI would compromise his creative process.
Jamie Umpherson argues that AI allows creators to stick closer to their artistic vision than ever before, since it enables unlimited revisions, unlike the traditional system constrained by costs.
“I see resistance everywhere” to this movement, observed Georgia State’s Strickler.
This is particularly true among her students, who are concerned about AI’s massive energy and water consumption as well as the use of original works to train models, not to mention the social impact.
But refusing to accept the shift is “kind of like having a business without having the internet”, she said. “You can try for a little while.”
In 2023, the American actors’ union SAG-AFTRA secured concessions on the use of their image through AI.
Strickler sees AI diminishing Hollywood’s role as the arbiter of creation and taste, instead allowing more artists and creators to reach a significant audience.
Runway’s founders, who are as much trained artists as they are computer scientists, have gained an edge over their AI video rivals in film, television, and advertising.
But they are already looking further ahead, considering expansion into augmented reality and virtual reality, for example, creating a metaverse where films could be shot.
“The most exciting applications aren’t necessarily the ones that we have in mind,” said Umpherson. “The ultimate goal is to see what artists do with technology.” AFP
Business
Samsung warns of big profit miss from US restrictions on advanced AI chip exports
Semiconductor and smartphone giant Samsung Electronic Co. Ltd. said on Tuesday morning in South Korea that it’s anticipating its second-quarter profit to plunge 56% from a year earlier, blaming it on sluggish sales in its chip business and the impacts of U.S. trade restrictions.
The forecast comes in much lower than what analysts had expected. Samsung said in a preliminary earnings statement that it’s expecting a second-quarter operating profit of 4.59 trillion won ($3.4 billion), down sharply from the 10.44 trillion won profit it posted in the year-ago period. Analysts had been targeting a profit of 6.2 trillion won, Reuters reported.
On a sequential basis, Samsung’s profit is expected to drop by around 31%, from 6.69 trillion won. Revenue for the period is expected to come to 74 trillion won, more or less flat from a year earlier.
In a separate press release issued to South Korean media, Samsung blamed the unexpected decline in profit on inventory replacements and the negative impact of the United States’ expanded sanctions on the export of advanced artificial intelligence processors to China.
“The memory business saw a decline in performance due to one-off costs, such as provisions for inventory asset valuation,” the company said. “However, improved HBM products are currently being evaluated and shipped to customers.”
Samsung was referring to its High-Bandwidth Memory chips, which are a critical component of AI processors. The company has struggled to match the progress of its rival memory chipmaker SK Hynix Inc., which currently provides the vast majority of HBM chips to Nvidia Corp. for use in that company’s graphics processing units.
However, Samsung said it expects to see a sharp increase in HBM chip sales to Nvidia in the upcoming quarter, despite recent reports that its products have not yet passed the AI chip leader’s quality tests. It also said its non-memory chipmaking foundry is expected to reduce its losses in the third quarter due to improved utilization rates and a recovery in global chip demand.
Analysts said Samsung’s profits were also hit by a decline in NAND flash prices and a stronger Korean won, and its stock was down 1% in early morning trading in Korea.
Holger Mueller of Constellation Research Inc. told SiliconANGLE it’s notable that Samsung is still growing its chip business, despite not being able to grow its profit. “The most critical challenge is for Samsung to be able to deliver its HBM chips, and if it can do this it will likely show stellar results like its competitors, given the insane hunger for AI chips,” the analyst said.
According to Mueller, investors will be happy to hear that Samsung believes it will soon be able to deliver a significant number of HBM chips to Nvidia, which is the most important customer. If it does do this, it could well see growth of the kind that it hasn’t enjoyed in years.
“But another challenge for Samsung is its smartphone business, which is also struggling right now,” Mueller added. “The flywheel will only come back and deliver as it used to once both of these businesses have strong offerings. Samsung will also need to demonstrate strong execution in production and on the go-to-market side.”
Samsung has not yet disclosed detailed earnings regarding the performance of its individual business units, but analysts estimate that its semiconductor business will deliver an operating profit of around 1 trillion won, based on the company’s preliminary forecast.
The company is also unlikely to see much benefit from the launch of its new flagship smartphone, the AI-powered Galaxy S25, in January. Meanwhile, its television and home appliance businesses are also expected to see a drop in profitability, due partly to the impact of U.S. tariffs on imports.
Although the report was disappointing for investors, Hyundai Motor Securities Co. analyst Roh Geun-chang said the company’s profit is likely to rebound in the third quarter, driven by an expected increase in memory chip prices. “Samsung’s operating profit appears to have bottomed out in the second quarter and is expected to show gradual improvement,” the analyst told Yonhap.
Image: SiliconANGLE/Dreamina
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