Rightways Technologies

Wednesday, 22 July 2026

A proposed solution for global AI governance

Photo: Filepic/Reuters

AT the 2026 World Artificial Intelligence Conference and High-Level Meeting on Global AI Governance (July 17 to 20 in China), international participants across sectors widely applauded the keynote address delivered by Chinese President Xi Jinping.

The speech focused on China’s governance philosophy of prioritising AI risk prevention and control while advancing secure, controllable, and well-ordered development.

The advent of AI has been followed by mounting challenges such as ethical disputes, security vulnerabilities, regulatory disparities, and geopolitical contention that are shared concerns for all nations.

The current global AI ecosystem remains complex and uncertain as industrial and regulatory policies evolve, and some countries erect exclusive technological barriers, even suspending domestic R&D of cutting-edge AI models at will.

Against the backdrop of rapid technological competition and proliferating risks, the world urgently requires an inclusive, actionable, and universally accessible governance framework that strikes a balance between AI development and risk control. China’s governance concepts and practical solutions precisely respond to these core global demands.

China’s AI governance propositions have earned extensive recognition and positive feedback from global public opinion and international communities.

Reuters highlighted key governance principles such as human-centric oversight, proactive risk early warning and sound emergency response mechanisms, while Nature magazine has called on global stakeholders to engage actively in the multilateral governance framework championed by China.

StarPUN secretary-general Antonio Guterres has publicly endorsed China’s propositions, affirming its core vision of advancing benevolent, inclusive, secure and accountable AI development.

In addition, multiple heads of state and government have expressed approval of a cooperation model that breaks away from zero-sum mentalities and geopolitical confrontation – AI should serve as a bridge for global connectivity and collaboration, rather than a technological divide splitting the world into blocs.

Leading global industry practitioners have also remarked that China’s governance practices clear obstacles to the healthy growth of the global AI industry, enabling all countries and humanity as a whole to reap the benefits of the intelligent era.

At its core, China’s model is offering the world not merely standalone governance concepts and security commitments but a systematic, actionable and equitable global public goods package for AI governance that balances efficiency and fairness.

In rule-setting, China spearheaded the release of the Global AI Governance Initiative and facilitated the consensus adoption of relevant AI governance resolutions at the UN General Assembly, establishing a foundational framework for global AI governance.

In inclusive development, China has pledged to provide 5,000 specialised AI training opportunities for developing countries over the next five years, helping emerging economies bridge their technological and talent gaps.

In risk governance practice, the Mazu intelligent early warning system developed by China has been deployed in 30 countries, providing a replicable model for global AI risk prevention and control.

Hosted by the conference, the World Organisation for AI Governance – the world’s first intergovernmental AI body – was officially inaugurated in Shanghai with 29 founding members, marking the initial establishment of a multilateral collaborative governance mechanism.

It is important to consistently uphold the principles of open source, transparency, joint development and shared benefits. In this regard, the large-scale, open-source AI model released by Chinese enterprises during the conference embodies a rejection of technological monopolies and a dedication to open cooperation.

This is an example of the core logic of China’s governance approach: advancing development alongside security and standardisation alongside inclusiveness.

“AI development should not be a solo performance by any single country, but a symphony of global cooperation.”

Global AI governance is currently at a pivotal stage of rule- reshaping and institutional restructuring, where competing governance models, development paths and value systems coexist, creating an urgent need for a stable, fair and inclusive global governance regime.

China’s sustained, pragmatic and open governance practices have proven that high-quality AI development hinges on secure and controllable progress. Only by integrating risk governance into the entire process of technological R&D, industrial application and international cooperation can intelligent technologies transcend national boundaries, mitigate geopolitical disruptions, and deliver shared prosperity for all humanity.

For Global South countries in particular, China’s governance solutions and cooperation models offer a more viable, stable and inclusive development alternative, supporting all nations in participating equally in the intelligent era and sharing in technological progress.

DING JIE

Director

International Relations Center

Academy of Contemporary China and World Studies

Wednesday, 15 July 2026

Human judgment still matters in real estate

AI speeds and eases workload but not infallible

Contributed by Sulaiman Saheh

Artificial intelligence (AI) is rapidly transforming the way professionals across various industries access information, analyse data and make decisions. In Malaysia, the government is entering a new phase of its AI agenda by shifting its focus from building digital infrastructure to accelerating AI adoption across businesses, public services and everyday professional practice. This national push is aimed at strengthening productivity, enhancing economic competitiveness and increasing the digital economy's contribution to gross domestic product (GDP).

With the National AI Office set to be institutionalised as the central body coordinating AI strategy and governance in July 2026, AI is expected to become increasingly embedded across industries, including real estate. From property valuation and investment analysis to customer engagement and management of buildings, AI is offering new levels of speed, efficiency and analytical capability. While these technological advancements present significant opportunities, it is also important to appreciate the intrinsic workings of AI-generated solutions and the different contexts where it flourishes and where caution is due, especially with the early stages of AI adoption in uncharted territories. This is where one has to closely examine the continuing role of human expertise, professional judgment and critical thinking, particularly when it comes to deriving decisions for implementation in the reality of real estate investments and developments.

Why the excitement?

One of the reasons AI has generated so much excitement is its ability to process vast amounts of information in a fraction of the time required by humans. The real estate sector produces enormous volumes of data every day. Transaction records, rental rates, occupancy levels, demographic trends, economic indicators and development pipelines all contribute to a complex and constantly evolving market environment. AI systems can rapidly analyse these datasets, identify patterns and generate insights that would otherwise require considerable time and effort. For real estate professionals, this translates into greater efficiency, faster decision-making and improved productivity.

AI can also help reduce human errors in repetitive administrative tasks. Data entry, report generation, document review and customer enquiries can be streamlined through AI-powered tools. In a market where speed often matters, such efficiency gains can enhance service quality and allow practitioners to focus on higher-value activities. Property agencies can use AI-driven chatbots to respond to customer enquiries around the clock while researchers and analysts can leverage AI to identify emerging market trends and produce preliminary assessments more quickly than before.

AI's greatest weakness

Despite its impressive capabilities, AI is far from infallible. One of its greatest weaknesses lies in its dependence on data quality, programming transparency and user instructions or prompters. An AI system can only produce results based on the information it is given. If the data is incomplete, outdated, inaccurate or biased, the resulting analysis may also be flawed. This is particularly relevant in the real estate industry where data quality varies significantly across locations and market segments. In Malaysia, while transparency has improved over the years, certain market information remains fragmented or unavailable. Not all property transactions, buyer motivations or local market dynamics can be fully captured in databases. As a result, AI-generated conclusions may not always reflect the realities on the ground.

Furthermore, real estate is not solely a numbers-driven industry. Property decisions are influenced by factors that are often difficult to quantify. Human emotions, cultural preferences, community perceptions, lifestyle considerations and personal circumstances frequently shape purchasing decisions. A neighbourhood's reputation, the quality of nearby schools, accessibility to places of worship, future infrastructure developments and local community characteristics may significantly affect property values and buyer behaviour. While AI can identify statistical correlations, it may struggle to understand the nuances that experienced practitioners recognise through years of market exposure and local knowledge.

Challenges in diversity

This limitation is particularly relevant in Malaysia's diverse property landscape. Market behaviour in central Kuala Lumpur may differ substantially from Johor Bahru, Chemor or other cities and towns across the nation. Even within the same city, two seemingly similar developments may perform differently due to factors that are not immediately visible in historical datasets. Local market sentiment, developer reputation, community demographics and buyer confidence often play a larger role than many analytical models can adequately capture. Though there had been increased efforts for data gathering and quantification of sociological parameters, human professionals are often needed to interpret these subtleties and place data within its proper context.

Another concern that deserves attention is the growing tendency to place excessive trust in AI-generated outputs. Modern AI systems are capable of producing reports, analyses and recommendations that appear highly convincing. However, confidence should not be mistaken for accuracy. AI can generate information that sounds plausible but is factually inaccurate, incomplete or unsupported by reliable evidence. In recent years, this phenomenon has become widely recognised as one of the major limitations of generative AI technologies. If users fail to verify the information provided, there is a risk that inaccurate assumptions may be incorporated into important business decisions.

Perhaps the more subtle and potentially dangerous consequence of heavy AI reliance is its impact on human critical thinking. Professional competence is built not only on knowledge but also on the ability to question, evaluate and challenge information. In the practice of real estate professional advisory services, practitioners are expected to assess the reliability of data, identify anomalies and consider alternative interpretations before arriving at conclusions. When AI becomes the primary source of analysis, there is a risk that practitioners may gradually become less inclined to exercise independent judgments.

Over time, excessive dependence on AI may encourage a culture of passive acceptance rather than active inquiry. Instead of asking whether the data is complete, whether assumptions are reasonable or whether alternative explanations exist, individuals may simply accept AI-generated outputs at face value. This phenomenon can lead to what may be described as automation bias or even an epistemic complacency where users consciously or unconsciously choose not to scrutinise information because doing so requires additional effort. In such situations, errors may go undetected not because the technology failed but because humans failed to critically evaluate the technology's conclusions.

The human touch

The human element remains one of the most valuable aspects of professional real estate practice. Property transactions are among the most significant financial decisions many individuals will make during their lifetime. Buyers, sellers, investors and occupiers often seek more than just information; they seek reassurance, guidance and professional judgment. Trust is built through relationships, communication and credibility. These qualities cannot be replicated by algorithms alone.

A professional – be it in real estate or any other industry - does more than analyse data. They interpret market conditions, assess risks, consider broader economic implications and provide recommendations that account for unique circumstances. Experience enables professionals to recognise emerging patterns before they become visible in historical datasets. Judgment allows them to balance quantitative analysis with qualitative considerations. Ethics guide them in acting responsibly when data alone may not provide clear answers. These are inherently human capabilities that remain essential and relevant while being complemented by the technological advancements seen in AI and other technologies.

There is little doubt that AI will continue to evolve and become more sophisticated in the years ahead. But as the real estate industry embraces digital transformation, we must remain mindful that technology is a tool, not a substitute for expertise and the responsibility for making informed decisions must continue to rest with qualified and trained professionals who must continue to learn, unlearn and relearn as technology evolves, rather than blindly relying solely on artificial intelligence programmes.

Sulaiman Saheh is the senior director of research and consultancy services at Rahim & Co Chestertons, a global real estate agency.

Here's how to dine on durian wisely

It’s hard to stop at just a few pieces of durian, but if you keep going, it can easily add up to another entire meal’s worth of calories. — LIM BENG TATT/The Star

Two durian pieces fine, 15 equal to a meal, says dietitian

When durian season arrives, many Malaysians do not eat durian like fruit, they consume it like a feast.

If six apples were placed on the table, most people would not finish all six at one sitting.

The same goes for eight oranges or 10 bananas, for example.

But when it comes to durian, “just one more piece” can easily become 10, 15, or even 20 pieces (or seeds), before anyone realises it.

The issue is not that durian is “bad”. The real issue is portion size.

After 15 pieces

A recent personal observation using a continuous glucose monitor (CGM) showed how much portion size can matter.

A CGM is a small sensor that tracks glucose levels throughout the day.

Before eating the durian, the glucose reading was 4.9 mmol/L.

After consuming 15 pieces of durian, the reading rose to 8.0 mmol/L within an hour.

It peaked at 9.1 mmol/L after about 90 minutes before gradually coming down over the next few hours.

If blood glucose had only been checked before eating and two hours after eating, the result may not have looked alarming.

But the CGM showed the full journey: how high the glucose climbed, how long it stayed elevated, and how much work the body had to do to bring it back down.

This was only an individual observation, not a clinical study, and glucose response can differ from person to person.

However, it is a useful reminder that blood glucose response is not only about the type of food we eat, but also about the total portion we consume.

The glucose did not rise because of one piece; every extra piece contributed to the total glucose load the body had to manage.

Each piece of durian adds more carbohydrate for the body to process.

The body then releases insulin to help move glucose from the bloodstream into the muscles and liver to be used or stored as energy.

When calorie intake repeatedly exceeds what the body needs, the excess energy may contribute to weight gain over time.

Every additional piece means more glucose to manage, more insulin to release and more calories to handle.

Durian nutrients

An average piece of durian, weighing about 27g, contains approximately 45 kcal and 8g of carbohydrate.

At the same time, durian also provides dietary fibre, potassium, vitamins B and C, and beneficial antioxidants.

In other words, durian is still a fruit that provides good nutrients.

Like every other fruit, it has a recommended serving size.

Malaysians are generally encouraged to consume two servings of fruit daily, and durian can fit into this recommendation when eaten in the right portion.

For example, one serving of fruit looks like this:

One medium apple
One small banana
One medium orange
One slice of papaya
Two average-sized pieces of durian.

Two average-sized pieces of durian provide about 90 kcal and 16g of carbohydrates.

This can still be considered a moderate-sized snack portion.

That is why two average-sized pieces of durian can be considered one serving of fruit.

‘Just one more piece’

The current cheaper prices of durian makes it even harder to limit consumption for durian lovers. — AZHAR MAHFOF/The Star

The problem is not consuming the two pieces of durian; the problem is that durian is rarely limited to just two pieces.

Below are the amount of calories and carbohydrates for different amounts of durian:

One piece: 45 kcal and 8g
Five pieces: 225 kcal and 40g
10 pieces: 450 kcal and 80g
15 pieces: 675 kcal and 120g.

For comparison, a typical Malaysian lunch or dinner may provide around 500 kcal and 60g of carbohydrate, depending on food choices and portion size.

Now, imagine enjoying 10, or even 15, pieces of durian.

Without realising it, those “just one more piece” moments can quietly add another entire meal’s worth of calories and carbohydrates to your daily food intake.

Durian is generally considered a low to medium glycaemic index (GI) fruit.

Because of this, some people may assume it can be eaten freely.

ALSO READ: Understanding the glycaemic index

However, the glycaemic index of a food is only one part of the picture.

The bigger concern during durian season is glycaemic load, which refers to the total amount of carbohydrates consumed.

One or two pieces may be manageable for many people.

But 10 or 15 pieces create a much higher glucose load for the body to manage.

This is especially important for people living with diabetes, prediabetes, insulin resistance, weight concerns or a family history of diabetes.

Eat wisely

Still, Malaysians do not need to avoid durian completely.

Food should not be about fear; durian can still be enjoyed.

The key is to enjoy it with better awareness and a more mindful portion, especially when it is eaten after a full meal:

Keep to about two average- sized pieces as one fruit serving.
Avoid eating a large amount of durian immediately after a heavy rice-based meal.
Share with family or friends instead of finishing one box or fruit alone.
Eat slowly and enjoy the taste, instead of turning it into a challenge.

For people with diabetes, prediabetes or other health concerns, monitoring your blood glucose response and seeking personalised advice from a dietitian or healthcare professional can help support better food choices.

Durian season is something many Malaysians look forward to.

The goal is not to stop people from enjoying durian, but to help everyone enjoy it with better awareness.

Khoo Wei Jin is a dietitian at Alpro Pharmacy. For more information, email starhealth@thestar.com.my. The information provided is for educational and communication purposes only, and should not be considered as medical advice. The Star does not give any warranty on accuracy, completeness, functionality, usefulness or other assurances as to the content appearing in this article. The Star disclaims all responsibility for any losses, damage to property or personal injury suffered directly or indirectly from reliance on such information.