en
Feedback
AI Forum Channel

AI Forum Channel

Open in Telegram

We are a collaborative space where scholars, policymakers, and entrepreneurs exchange perspectives on AI, analyze the societal impact of digital tech, and build industry-university partnerships. Join us to shape the future of AI in Cambodia and beyond!

Show more
283
Subscribers
No data24 hours
-37 days
-530 days
Attracting Subscribers
September '26
September '260
in 0 channels
August '26
+1
in 0 channels
Get PRO
July '26
+11
in 0 channels
Get PRO
June '26
+12
in 0 channels
Get PRO
May '26
+5
in 0 channels
Get PRO
April '26
+4
in 2 channels
Get PRO
March '260
in 0 channels
Get PRO
February '26
+1
in 0 channels
Get PRO
January '26
+4
in 0 channels
Get PRO
December '25
+1
in 0 channels
Get PRO
November '25
+2
in 0 channels
Get PRO
October '25
+6
in 0 channels
Get PRO
September '250
in 0 channels
Get PRO
August '25
+1
in 0 channels
Get PRO
July '25
+19
in 1 channels
Get PRO
June '250
in 0 channels
Get PRO
May '25
+11
in 1 channels
Get PRO
April '25
+3
in 0 channels
Get PRO
March '25
+8
in 1 channels
Get PRO
February '25
+8
in 0 channels
Get PRO
January '25
+5
in 1 channels
Get PRO
December '24
+241
in 1 channels
Date
Subscriber Growth
Mentions
Channels
09 September0
08 September0
07 September0
06 September0
05 September0
04 September0
03 September0
02 September0
01 September0
Channel Posts
[English Below] πŸš¨αž–αŸαžαŸŒαž˜αžΆαž“ AI αžαŸ’αž˜αžΈαŸ—αž‡αž»αŸ†αžœαž·αž‰αž–αž·αž—αž–αž›αŸ„αž€! 🌏 αž–αž·αž—αž–αž›αŸ„αž€αž€αŸ†αž–αž»αž„αžƒαžΎαž‰αž€αžΆαžšαžœαž·αžœαžαŸ’αžαž™αŸ‰αžΆαž„αž†αžΆαž”αŸ‹αžšαž αŸαžŸαž€αŸ’αž“αž»αž„αžœαž·αžŸαŸαž™αž”αž‰αŸ’αž‰αžΆαžŸαž·αž”αŸ’αž”αž“αž·αž˜αŸ’αž˜αž·αž (AI) αžŠαŸ„αž™αž”αŸ’αžšαž‘αŸαžŸαž…αž·αž“αž€αŸ†αž–αž»αž„αž–αž„αŸ’αžšαžΉαž„αžŸαž˜αžαŸ’αžαž—αžΆαž– AI αžŠαŸ„αž™αž•αŸ’αž’αŸ‚αž€αž›αžΎαž…αŸ†αžŽαž»αž…αžαŸ’αž›αžΆαŸ†αž„αž€αŸ’αž“αž»αž„αžŸαŸ’αžšαž»αž€ αžαžŽαŸˆαž”αŸ’αžšαž‘αŸαžŸαž‡αž”αŸ‰αž»αž“αž‚αŸ’αžšαŸ„αž„αž–αž„αŸ’αžšαžΉαž„αžαž˜αŸ’αž›αžΆαž—αžΆαž–αžšαž”αžŸαŸ‹αž€αŸ’αžšαž»αž˜αž αŸŠαž»αž“ AI αžαžΆαž˜αžšαž™αŸˆαž€αžΆαžšαž”αž„αŸ’αž αžΆαž‰αž–αŸαžαŸŒαž˜αžΆαž“αž’αŸ†αž–αžΈαž‘αž·αž“αŸ’αž“αž“αŸαž™αž”αžŽαŸ’αžαž»αŸ‡αž”αžŽαŸ’αžαžΆαž›αŸ” αž‘αž“αŸ’αž‘αžΉαž˜αž“αžΉαž„αž“αŸαŸ‡ αž€αžΆαžšαž’αž—αž·αžœαžŒαŸ’αž AI αž€αŸ’αž“αž»αž„αžœαž·αžŸαŸαž™αž™αŸ„αž’αžΆ αž”αž…αŸ’αž…αŸαž€αžœαž·αž‘αŸ’αž™αžΆαžˆαžΈαž” αž“αž·αž„αž‡αžΈαžœαžŸαžΆαžŸαŸ’αžαŸ’αžš αž€αŸαž€αŸ†αž–αž»αž„αž”αž„αŸ’αž€αžΎαžαž‘αžΆαŸ†αž„αž±αž€αžΆαžŸαžαŸ’αž˜αžΈ αž“αž·αž„αž€αžΆαžšαž–αŸ’αžšαž½αž™αž”αžΆαžšαž˜αŸ’αž—αž’αŸ†αž–αžΈαž αžΆαž“αž·αž—αŸαž™ αž“αž·αž„αž€αžΆαžšαž”αŸ’αžšαžΎαž”αŸ’αžšαžΆαžŸαŸ‹αžαž»αžŸαž‚αŸ„αž›αžŠαŸ…αŸ” 🌏 αž“αŸ…αž€αŸ’αž“αž»αž„αžαŸ†αž”αž“αŸ‹αž’αžΆαžŸαŸŠαžΆαž“ αž€αž·αž…αŸ’αž…αžŸαž αž”αŸ’αžšαžαž·αž”αžαŸ’αžαž·αž€αžΆαžšαž›αžΎ AI αž“αž·αž„αž”αž…αŸ’αž…αŸαž€αžœαž·αž‘αŸ’αž™αžΆαžŒαžΈαž‡αžΈαžαž›αž€αŸ†αž–αž»αž„αž€αžΎαž“αž‘αžΎαž„ αžŠαŸ„αž™αž•αŸ’αžαŸ„αžαž›αžΎαž€αžΆαžšαž’αž—αž·αžœαžŒαŸ’αžαž‘αŸαž–αž€αŸ„αžŸαž›αŸ’αž™αžŒαžΈαž‡αžΈαžαž› αž€αžΆαžšαž”αž„αŸ’αž€αžΎαžαž‚αŸ„αž›αž€αžΆαžšαžŽαŸαžŸαž˜αŸ’αžšαžΆαž”αŸ‹αž€αžΆαžšαž”αŸ’αžšαžΎαž”αŸ’αžšαžΆαžŸαŸ‹ AI αž”αŸ’αžšαž€αž”αžŠαŸ„αž™αž€αžΆαžšαž‘αž‘αž½αž›αžαž»αžŸαžαŸ’αžšαžΌαžœ αž“αž·αž„αž€αžΆαžšαž–αž„αŸ’αžšαžΉαž„αž—αžΆαž–αž‡αžΆαžŠαŸƒαž‚αžΌαž‡αžΆαž˜αž½αž™αž”αŸ’αžšαž‘αŸαžŸαžŠαŸƒαž‚αžΌαŸ” αž€αž˜αŸ’αž–αž»αž‡αžΆαž€αŸαž€αŸ†αž–αž»αž„αž…αžΌαž›αžšαž½αž˜αž€αŸ’αž“αž»αž„αž€αžΆαžšαž‡αŸ†αžšαž»αž‰αž€αž·αž…αŸ’αž…αžŸαž αž”αŸ’αžšαžαž·αž”αžαŸ’αžαž·αž€αžΆαžšαžŒαžΈαž‡αžΈαžαž› αž“αž·αž„αž€αžΆαžšαž’αž—αž·αžœαžŒαŸ’αžαž‡αŸ†αž“αžΆαž‰ AI αžŠαžΎαž˜αŸ’αž”αžΈαž†αŸ’αž›αžΎαž™αžαž”αž‘αŸ…αž“αžΉαž„αžαž˜αŸ’αžšαžΌαžœαž€αžΆαžšαž“αŸƒαžŸαŸαžŠαŸ’αž‹αž€αž·αž…αŸ’αž…αžŒαžΈαž‡αžΈαžαž›αž“αžΆαž–αŸαž›αž’αž“αžΆαž‚αžαŸ” πŸ‡°πŸ‡­ αž€αž˜αŸ’αž–αž»αž‡αžΆαž€αŸ†αž–αž»αž„αž”αž„αŸ’αž€αžΎαž“αž€αžΆαžšαž™αž€αž…αž·αžαŸ’αžαž‘αž»αž€αžŠαžΆαž€αŸ‹αž›αžΎαž€αžΆαžšαž”αŸ’αžšαžΎαž”αŸ’αžšαžΆαžŸαŸ‹ AI αž€αŸ’αž“αž»αž„αžœαž·αžŸαŸαž™αž’αž”αŸ‹αžšαŸ† αž’αžΆαž‡αžΈαžœαž€αž˜αŸ’αž˜ αžŸαŸαžœαžΆαžŸαžΆαž’αžΆαžšαžŽαŸˆ αž“αž·αž„αžŸαž“αŸ’αžαž·αžŸαž»αžαžαžΆαž˜αž’αŸŠαžΈαž“αž’αžΊαžŽαž·αžαŸ” αžŸαŸ’αžαžΆαž”αŸαž“αž’αž”αŸ‹αžšαŸ†αž€αŸ†αž–αž»αž„αž–αž„αŸ’αžšαžΈαž€αž±αž€αžΆαžŸαžŸαž˜αŸ’αžšαžΆαž”αŸ‹αž“αžœαžΆαž“αž»αžœαžαŸ’αžαž“αŸ αž“αž·αž„αž€αžΆαžšαž’αž—αž·αžœαžŒαŸ’αžαž‡αŸ†αž“αžΆαž‰αž”αž…αŸ’αž…αŸαž€αžœαž·αž‘αŸ’αž™αžΆ αžαžŽαŸˆαžœαž·αžŸαŸαž™αžŸαžΆαž’αžΆαžšαžŽαŸˆ αž“αž·αž„αžŸαž αž‚αŸ’αžšαžΆαžŸαž’αž»αž“αžαžΌαž… αž“αž·αž„αž˜αž’αŸ’αž™αž˜αž€αŸ†αž–αž»αž„αžŸαŸ’αžœαŸ‚αž„αžšαž€αžœαž·αž’αžΈαž”αŸ’αžšαžΎαž”αŸ’αžšαžΆαžŸαŸ‹ AI αžŠαžΎαž˜αŸ’αž”αžΈαž”αž„αŸ’αž€αžΎαž“αž”αŸ’αžšαžŸαž·αž‘αŸ’αž’αž—αžΆαž– αž“αž·αž„αž•αž›αž·αžαž—αžΆαž–αŸ” αž‡αžΆαž˜αž½αž™αž‚αŸ’αž“αžΆαž“αŸαŸ‡ αž€αž·αž…αŸ’αž…αžŸαž αž”αŸ’αžšαžαž·αž”αžαŸ’αžαž·αž€αžΆαžšαž‡αžΆαž˜αž½αž™αž”αŸ’αžšαž‘αŸαžŸαžŠαŸƒαž‚αžΌαž€αŸαž€αŸ†αž–αž»αž„αž”αžΎαž€αž±αž€αžΆαžŸαžαŸ’αž˜αžΈαžŸαž˜αŸ’αžšαžΆαž”αŸ‹αž€αžΆαžšαžœαž·αž“αž·αž™αŸ„αž‚ αž”αž…αŸ’αž…αŸαž€αžœαž·αž‘αŸ’αž™αžΆαžŒαžΈαž‡αžΈαžαž› αž“αž·αž„αž€αžΆαžšαž’αž—αž·αžœαžŒαŸ’αžαžŸαž˜αžαŸ’αžαž—αžΆαž– AI αžšαž”αžŸαŸ‹αž€αž˜αŸ’αž–αž»αž‡αžΆαŸ” αž€αž»αŸ†αž’αŸ„αž™αžαž€αžαžΆαž“αž‡αžΆαž˜αž½αž™αž€αžΆαžšαž™αž›αŸ‹αžŠαžΉαž„αžαŸ’αž˜αžΈαŸ—αž’αŸ†αž–αžΈ AIF αž“αž·αž„αž—αžΆαž–αž‡αžΏαž“αž›αžΏαž“αžšαž”αžŸαŸ‹ AI αž—αŸ’αž‡αžΆαž”αŸ‹αž˜αž€αž‡αžΆαž˜αž½αž™αž™αžΎαž„αŸ– https://www.aiforumcambodia.org/archives/publications/%f0%9f%9a%a8%e1%9e%96%e1%9f%90%e1%9e%8f%e1%9f%8c%e1%9e%98%e1%9e%b6%e1%9e%93-ai-%e1%9e%90%e1%9f%92%e1%9e%98%e1%9e%b8%e1%9f%97%e1%9e%87%e1%9e%bb%e1%9f%86%e1%9e%9c%e1%9e%b7%e1%9e%89%e1%9e%96%e1%9e%b7-40 πŸ“¬ AI Forum Monthly Newsletter – August Issue No. 03 is out now! 🌍 From the rapid expansion of AI ecosystems and the growing push for AI transparency to emerging risks in national security, advanced computing, and biotechnology, this issue explores how AI is reshaping industries, governance, and society. 🌏 Across ASEAN, countries are strengthening AI skills, regional cooperation, digital transformation, responsible AI governance, and emerging applications such as legal AIβ€”highlighting the region’s growing role in shaping an AI-ready future. πŸ‡°πŸ‡­ In Cambodia, AI adoption continues to grow across education, SMEs, public administration, cybersecurity, and international cooperation. From building practical AI skills and supporting businesses to modernising public services and strengthening partnerships, Cambodia is taking important steps toward a more digital and AI-ready future. 🧠 In this issue, explore the latest Global, Regional, and National AI News, along with deeper analysis of the opportunities, risks, and implications of these developments for Cambodia’s AI future. πŸ”— Dive into the full issue: https://www.aiforumcambodia.org/archives/publications/%f0%9f%9a%a8%e1%9e%96%e1%9f%90%e1%9e%8f%e1%9f%8c%e1%9e%98%e1%9e%b6%e1%9e%93-ai-%e1%9e%90%e1%9f%92%e1%9e%98%e1%9e%b8%e1%9f%97%e1%9e%87%e1%9e%bb%e1%9f%86%e1%9e%9c%e1%9e%b7%e1%9e%89%e1%9e%96%e1%9e%b7-40 #AIForum #AINewsletter #AIinCambodia #ResponsibleAI #AIethics #ASEANAI #DigitalTransformation #AIInnovation #CambodiaAI #AIGovernance #AIForDevelopment

2
AIF Insights No. 27 (2026) | Artificial Intelligence Has a Consumer Problem: The AI Consumer Crisis: De-Agrarianization, Labor Displacement, and the Demand Trap in Cambodia This paper explores the macroeconomic β€œAI displacement trap,” arguing that simultaneous global automation destroys the primary engine of economic demand by eliminating human wage income. Using Cambodia as a primary case study, the author shows that rapid de-agrarianizationβ€”caused by fragmented land, aging farmers, and changing social aspirationsβ€”permanently removes agriculture as a traditional fallback sector, leaving displaced workers without a reservation wage floor. This creates an inescapable macroeconomic collapse loop where lost wages trigger collapsed consumption, shrinking profits, evaporating tax bases, and ultimate state failure. To prevent this structural decline, the paper advocates for regionally and globally coordinated technology governanceβ€”such as an ASEAN Consumer Demand Protection Protocolβ€”alongside national AI wealth funds and the preemptive redistribution of AI productivity gains to secure universal household dividends. Read: https://www.aiforumcambodia.org/archives/publications/aif-insights-no-27-2026-artificial-intelligence-has-a-consumer-problem-the-ai-consumer-crisis-de-agrarianization-labor-displacement-and-the-demand-trap-in-cambodia
83
3
AIF Insights No. 26 (2026) | The Illusion of the Algorithm: Precision, Attrition, and the New Global Security Divide This article argues that artificial intelligence narrows military choices rather than offering a β€œclean war” ideal, driving conflicts toward attritional fighting while exacerbating global security divides. Focusing on the concept of military AI capability as a conversion problem across technical, industrial, and operational layers, the author illustrates how reliance on private tech infrastructure creates concentration risks and systemic dependencies. The paper demonstrates how AI systems serve as β€œlegitimation tools” for mass target generation, using the illusion of precision to justify indiscriminate civilian destruction, while also exploring how unreliable modelsβ€”afflicted by concept drift and catastrophic forgettingβ€”increase operational risks. Finally, it highlights the strategic traps facing the Global South, where adopting AI without infrastructure leads to proxy risks, loss of agency, and tactical dependence, ultimately recommending a shift toward focused, politically sound defense partnerships and governed compute access. Read: https://www.aiforumcambodia.org/archives/publications/aif-insights-no-26-2026-the-illusion-of-the-algorithm-precision-attrition-and-the-new-global-security-divide
80
4
[English Below] πŸš¨αž–αŸαžαŸŒαž˜αžΆαž“ AI αžαŸ’αž˜αžΈαŸ—αž‡αž»αŸ†αžœαž·αž‰αž–αž·αž—αž–αž›αŸ„αž€! 🌍 αž€αžΆαžšαž‡αž‡αŸ‚αž€αžŠαŸαž‰αžŠαŸ„αž›αž‡αžΆαžŸαž€αž›αž’αŸ†αž–αžΈαžŸαŸ’αž˜αžΆαžšαžαžΈ αž“αž·αž„αž€αŸ’αžšαž˜αžŸαžΈαž›αž’αž˜αŸŒαž“αŸƒαž”αž‰αŸ’αž‰αžΆαžŸαž·αž”αŸ’αž”αž“αž·αž˜αŸ’αž˜αž·αž (AI) αžšαž αžΌαžαžŠαž›αŸ‹αž€αžΆαžšαž”αŸ’αžšαž€αž½αžαž”αŸ’αžšαž‡αŸ‚αž„αžŠαŸ‚αž›αž€αŸ†αž–αž»αž„αž€αžΎαž“αž‘αžΎαž„αž€αŸ’αž“αž»αž„αž€αžΆαžšαž€αŸ’αž›αžΆαž™αž‡αžΆαž’αŸ’αž“αž€αžŠαžΉαž€αž“αžΆαŸ†αž•αŸ’αž“αŸ‚αž€ AI αŸ” αž€αžΆαžšαž…αŸαž‰αž•αŸ’αžŸαžΆαž™αž“αŸαŸ‡αž“αžΉαž„αžŸαŸ’αžœαŸ‚αž„αž™αž›αŸ‹αž–αžΈαžšαž”αŸ€αž”αžŠαŸ‚αž› AI αž€αŸ†αž–αž»αž„αž€αŸ‚αž”αŸ’αžšαŸ‚αž‘αž˜αŸ’αžšαž„αŸ‹αž’αž—αž·αž”αžΆαž›αž€αž·αž…αŸ’αž… αž€αžΆαžšαž’αž”αŸ‹αžšαŸ† αž”αž…αŸ’αž…αŸαž€αžœαž·αž‘αŸ’αž™αžΆ αž“αž·αž„αž€αž·αž…αŸ’αž…αžŸαž αž”αŸ’αžšαžαž·αž”αžαŸ’αžαž·αž€αžΆαžšαž’αž“αŸ’αžαžšαž‡αžΆαžαž·αŸ” 🌏 αž“αŸ…αž‘αžΌαž‘αžΆαŸ†αž„αžαŸ†αž”αž“αŸ‹αž’αžΆαžŸαŸŠαžΆαž“ αž”αžŽαŸ’αžαžΆαž”αŸ’αžšαž‘αŸαžŸαž“αžΆαž“αžΆαž€αŸ†αž–αž»αž„αž‡αŸ†αžšαž»αž‰αž€αžΆαžšαž’αž—αž·αžœαžŒαŸ’αžαž”αž‰αŸ’αž‰αžΆαžŸαž”αŸ’αž”αž“αž·αž˜αŸ’αž˜αž·αž (AI) αž€αžΆαžšαž’αž”αŸ‹αžšαŸ†αž•αŸ’αž“αŸ‚αž€ STEM αž€αžΆαžšαž”αžšαž·αžœαžαŸ’αžαž€αž˜αŸ’αž˜αžŒαžΈαž‡αžΈαžαž› αž“αž·αž„αž—αžΆαž–αž‡αžΆαžŠαŸƒαž‚αžΌαž€αŸ’αž“αž»αž„αžαŸ†αž”αž“αŸ‹ αžŠαžΎαž˜αŸ’αž”αžΈαž€αžŸαžΆαž„αžαŸ†αž”αž“αŸ‹αž˜αž½αž™αžŠαŸ‚αž›αž˜αžΆαž“αž—αžΆαž–αž’αž“αŸ‹ αž“αžΆαž–αŸαž›αž’αž“αžΆαž‚αžαŸ” πŸ‡°πŸ‡­ αž€αž˜αŸ’αž–αž»αž‡αžΆαž“αŸ…αžαŸ‚αž”αž“αŸ’αžαž–αž„αŸ’αžšαžΉαž„αž€αžΆαžšαž’αž—αž·αžœαžŒαŸ’αžαž•αŸ’αž“αŸ‚αž€αž”αž‰αŸ’αž‰αžΆαžŸαž”αŸ’αž”αž“αž·αž˜αŸ’αž˜αž·αž (AI) αž”αŸ’αžšαž€αž”αžŠαŸ„αž™αž€αžΆαžšαž‘αž‘αž½αž›αžαž»αžŸαžαŸ’αžšαžΌαžœ αžαžΆαž˜αžšαž™αŸˆαž€αž·αž…αŸ’αž…αžŸαž αž”αŸ’αžšαžαž·αž”αžαŸ’αžαž·αž€αžΆαžšαžŸαž€αž› αž±αž€αžΆαžŸαžœαž·αž“αž·αž™αŸ„αž‚αžαŸ’αž˜αžΈαŸ— αž“αžœαžΆαž“αž»αžœαžαŸ’αžαž“αŸαžŒαžΈαž‡αžΈαžαž› αž“αž·αž„αž‚αŸ„αž›αž“αž™αŸ„αž”αžΆαž™ AI αžŠαŸ‚αž›αž•αŸ’αž’αŸ‚αž€αž›αžΎαž€αŸ’αžšαž˜αžŸαžΈαž›αž’αž˜αŸŒ αž“αž·αž„αž‚αž»αžŽαžαž˜αŸ’αž›αŸƒαžšαž”αžŸαŸ‹αžαŸ’αž˜αŸ‚αžšαŸ” 🧠 αž“αŸ…αž€αŸ’αž“αž»αž„αž€αžΆαžšαž…αŸαž‰αž•αŸ’αžŸαžΆαž™αž“αŸαŸ‡ αžŸαžΌαž˜αžŸαŸ’αžœαŸ‚αž„αž™αž›αŸ‹αž–αžΈαž–αŸαžαŸŒαž˜αžΆαž“ AI αžαŸ’αž˜αžΈαŸ—αž”αŸ†αž•αž»αžαž‘αžΆαŸ†αž„αž€αž˜αŸ’αžšαž·αžαžŸαž•αŸ’αžŸαž–αŸ’αžœαž•αŸ’αžŸαžΆαž™αžαŸ†αž”αž“αŸ‹ αž“αž·αž„αžαŸ’αž“αžΆαž€αŸ‹αž‡αžΆαžαž· αžšαž½αž˜αž‡αžΆαž˜αž½αž™αž“αžΉαž„αž‘αžŸαŸ’αžŸαž“αžΆαž‘αžΆαž“αž‚αž“αŸ’αž›αžΉαŸ‡αžŸαŸ†αžαžΆαž“αŸ‹αŸ—αž’αŸ†αž–αžΈαž’αžαŸ’αžαž“αŸαž™αž“αŸƒαž€αžΆαžšαžœαž·αžœαžαŸ’αžαž‘αžΆαŸ†αž„αž“αŸαŸ‡ αžŸαž˜αŸ’αžšαžΆαž”αŸ‹αž’αž“αžΆαž‚αž AI αžšαž”αžŸαŸ‹αž”αŸ’αžšαž‘αŸαžŸαž€αž˜αŸ’αž–αž»αž‡αžΆαŸ” αž€αž»αŸ†αž’αŸ„αž™αžαž€αžαžΆαž“αž‡αžΆαž˜αž½αž™αž€αžΆαžšαž™αž›αŸ‹αžŠαžΉαž„αžαŸ’αž˜αžΈαŸ—αž’αŸ†αž–αžΈ AIF αž“αž·αž„αž—αžΆαž–αž‡αžΏαž“αž›αžΏαž“αžšαž”αžŸαŸ‹ AI αž—αŸ’αž‡αžΆαž”αŸ‹αž˜αž€αž‡αžΆαž˜αž½αž™αž™αžΎαž„αŸ– https://aiforum.my.canva.site/linktree πŸ“¬ AI Forum Monthly Newsletter – July Issue No. 02 is out now! 🌍 From the global debate on AI consciousness and ethics to the growing competition for AI leadership, this issue explores how AI is reshaping governance, education, technology, and international cooperation. 🌏 Across ASEAN, countries are advancing AI, STEM education, digital transformation, and regional partnerships to build a more resilient and future-ready region. πŸ‡°πŸ‡­ Cambodia continues to strengthen responsible and human-centred AI development through global cooperation, new investment opportunities, digital innovation, and AI policies rooted in ethics and Khmer values. 🧠 In this issue, explore the latest Global, Regional, and National AI News, along with key insights on what these developments mean for Cambodia’s AI future. πŸ”— Dive into the full issue: https://www.aiforumcambodia.org/archives/publications/english-below-2 #AIForum #AINewsletter #AIinCambodia #ResponsibleAI #AIethics #ASEANAI #DigitalTransformation #AIInnovation #CambodiaAI
244
5
[English ] πŸ€– αž‚αž»αžŽαžŸαž˜αŸ’αž”αžαŸ’αžαž· αž“αž·αž„αž‚αž»αžŽαžœαž·αž”αžαŸ’αžαž·αž“αŸƒαž€αžΆαžšαž”αŸ’αžšαžΎαž”αŸ’αžšαžΆαžŸαŸ‹αž”αž‰αŸ’αž‰αžΆαžŸαž”αŸ’αž”αž“αž·αž˜αŸ’αž˜αž·αž (AI) AI αž’αžΆαž…αž”αž„αŸ’αž€αžΎαž“αž•αž›αž·αžαž—αžΆαž– αž‡αž½αž™αž–αž„αŸ’αžšαžΉαž„αž€αžΆαžšαžŸαž·αž€αŸ’αžŸαžΆαžšαŸ€αž“αžŸαžΌαžαŸ’αžš αž“αž·αž„αž‚αžΆαŸ†αž‘αŸ’αžšαžŠαž›αŸ‹αž—αžΆαž–αž…αŸ’αž“αŸƒαž”αŸ’αžšαžŒαž·αžαŸ” αž‘αŸ„αŸ‡αž‡αžΆαž™αŸ‰αžΆαž„αžŽαžΆαž€αŸαžŠαŸ„αž™ αžœαžΆαž€αŸαž’αžΆαž…αžšαž½αž˜αž…αŸ†αžŽαŸ‚αž€αžŠαž›αŸ‹αž€αžΆαžšαž•αŸ’αžαž›αŸ‹αž–αŸαžαŸŒαž˜αžΆαž“αž˜αž·αž“αž–αž·αž αž€αžΆαžšαž”αž„αŸ’αž€αžΎαžαžœαžΈαžŠαŸαž’αžΌαž¬αžšαžΌαž”αž—αžΆαž–αž€αŸ’αž›αŸ‚αž„αž”αž“αŸ’αž›αŸ† (deepfakes) αž€αžΆαžšαž”αŸ„αž€αž”αŸ’αžšαžΆαžŸαŸ‹ αž“αž·αž„αž€αžΆαžšαž–αžΉαž„αž•αŸ’αž’αŸ‚αž€αž›αžΎαžœαžΆαžαŸ’αž›αžΆαŸ†αž„αž–αŸαž€ αž”αŸ’αžšαžŸαž·αž“αž”αžΎαž”αŸ’αžšαžΎαž”αŸ’αžšαžΆαžŸαŸ‹αžŠαŸ„αž™αž‚αŸ’αž˜αžΆαž“αž€αžΆαžšαžαŸ’αžšαž·αŸ‡αžšαž·αŸ‡αž–αž·αž…αžΆαžšαžŽαžΆαŸ” πŸ’‘ AI αž‚αžΊαž‡αžΆαž§αž”αž€αžšαžŽαŸαžŠαŸαž˜αžΆαž“αž’αžΆαž“αž»αž—αžΆαž– αžŸαžΌαž˜αž”αŸ’αžšαžΎαž”αŸ’αžšαžΆαžŸαŸ‹αžœαžΆαžŠαŸ„αž™αž€αžΆαžšαž‘αž‘αž½αž›αžαž»αžŸαžαŸ’αžšαžΌαžœ αž•αŸ’αž‘αŸ€αž„αž•αŸ’αž‘αžΆαžαŸ‹αž–αŸαžαŸŒαž˜αžΆαž“ αž“αž·αž„αž’αž“αž»αž‰αŸ’αž‰αžΆαžαž±αŸ’αž™αžœαžΆαž‡αž½αž™αž‚αžΆαŸ†αž‘αŸ’αžšαž€αžΆαžšαž‚αž·αžαžšαž”αžŸαŸ‹αž’αŸ’αž“αž€ αžαŸ‚αž˜αž·αž“αž˜αŸ‚αž“αž˜αž€αž‡αŸ†αž“αž½αžŸαž€αžΆαžšαž‚αž·αžαžšαž”αžŸαŸ‹αž’αŸ’αž“αž€αž‘αžΆαŸ†αž„αžŸαŸ’αžšαž»αž„αž“αŸ„αŸ‡αž‘αŸαŸ” πŸŽ₯ αžŸαžΌαž˜αž‘αžŸαŸ’αžŸαž“αžΆαžœαžΈαžŠαŸαž’αžΌαž“αŸαŸ‡αžŠαžΎαž˜αŸ’αž”αžΈαžŸαŸ’αžœαŸ‚αž„αž™αž›αŸ‹αž”αž“αŸ’αžαŸ‚αž˜! πŸ”— αž—αŸ’αž‡αžΆαž”αŸ‹αž˜αž€αž‡αžΆαž˜αž½αž™αž™αžΎαž„αŸ– https://aiforum.my.canva.site/linktree πŸ€– The Positive and Negative of Using AI AI can boost productivity, enhance learning, and support creativity. However, it can also contribute to misinformation, deepfakes, scams, and overreliance if used without critical thinking. πŸ’‘ AI is a powerful tool use it responsibly, verify information, and let it support your thinking, not replace it. πŸŽ₯ Watch the video to learn more! πŸ”— https://aiforum.my.canva.site/linktree #AI #ResponsibleAI #DigitalLiteracy #ArtificialIntelligence
350
6
No text...
317
7
AIF Insights No. 25 (2026) | Digital Sovereignty in the Age of AI: What Choices for Cambodia ? This examines how small states can navigate digital sovereignty within an AI landscape dominated by major powers like the United States and China. Rather than passively adopting foreign technologies or unrealistically striving for full technical independence, the author argues that small nations must deliberately choose their dependencies and exercise agency where feasible. Specifically for Cambodia, this involves taking active ownership of accessible layers such as local data and language representation, leveraging regional alliances like ASEAN to gain collective bargaining power against tech monopolists, and embedding strict oversight, audit, and localization conditions into public procurement contracts to cultivate internal technical competence. Ultimately, the paper concludes that digital sovereignty in the AI era is defined not by total control, but by deliberate choices, active practice, and strategic regional cooperation. Read: https://www.aiforumcambodia.org/archives/publications/aif-insights-no-25-2026-digital-sovereignty-in-the-age-of-ai-what-choices-for-cambodia
112
8
AIF Insights No. 24 (2026) | Towards Developing Digital Humanities as a Discipline in Cambodia Digital Humanities (DH) has matured into a well-established, collaborative discipline in Western contexts, yet its development remains uneven globally, particularly in non-Western areas like Southeast Asia. This article examines the distinct institutional, data-related, and technological constraints that shape DH scholarship in Cambodia. Institutional progress is hindered by limited academic support and a lack of sustained interdisciplinary collaboration between computer science and humanities departments. Data constraints are exacerbated by historical disruptions, such as civil war and genocide, which resulted in a severe scarcity of digitized materials and a reliance on foreign archives. Furthermore, technological barriers exist because Natural Language Processing (NLP) tools and datasets remain underdeveloped for the Khmer language, which lacks explicit word delimiters and possesses unique syntactic and orthographic structures that limit the efficacy of cross-lingual transfer methods. To overcome these challenges and cultivate a sustainable, locally grounded DH discipline, the article recommends enhancing digital infrastructure, promoting interdisciplinary university education, strengthening targeted research initiatives, and encouraging regional partnerships with leading Asian DH centers. Read: https://www.aiforumcambodia.org/archives/publications/aif-insights-no-24-2026-towards-developing-digital-humanities-as-a-discipline-in-cambodia
156
9
[English Below] πŸš¨αž–αŸαžαŸŒαž˜αžΆαž“ AI αžαŸ’αž˜αžΈαŸ—αž‡αž»αŸ†αžœαž·αž‰αž–αž·αž—αž–αž›αŸ„αž€! αž‡αžΆαžŠαŸ†αž”αžΌαž„ αž™αžΎαž„αžαŸ’αž‰αž»αŸ†αžŸαžΌαž˜αžαŸ’αž›αŸ‚αž„αž’αŸ†αžŽαžšαž‚αž»αžŽαž™αŸ‰αžΆαž„αž‡αŸ’αžšαžΆαž›αž‡αŸ’αžšαŸ…αž…αŸ†αž–αŸ„αŸ‡αž’αŸ’αž“αž€αž‘αžΆαŸ†αž„αž’αžŸαŸ‹αž‚αŸ’αž“αžΆαžŠαŸ‚αž›αž”αžΆαž“αž‚αžΆαŸ†αž‘αŸ’αžš αž“αž·αž„αž’αžΆαž“αž–αŸαžαŸŒαž˜αžΆαž“ AI αžαŸ’αž˜αžΈαŸ—αž”αŸ’αžšαž…αžΆαŸ†αžŸαž”αŸ’αžαžΆαž αŸαžšαž”αžŸαŸ‹ AI Forum αž™αžΎαž„αž“αžΆαž–αŸαž›αž€αž“αŸ’αž›αž„αž˜αž€αŸ” αžŠαŸ„αž™αžŸαžΆαžšαžαŸ‚αž˜αžΆαž“αž€αžΆαžšαž‚αžΆαŸ†αž‘αŸ’αžšαžšαž”αžŸαŸ‹αž’αŸ’αž“αž€αž‘αžΆαŸ†αž„αž’αžŸαŸ‹αž‚αŸ’αž“αžΆ αž”αžΆαž“αž€αŸ’αž›αžΆαž™αž‡αžΆαž€αž˜αŸ’αž›αžΆαŸ†αž„αž…αž·αžαŸ’αžαž±αŸ’αž™αž™αžΎαž„αž˜αžΆαž“αž€αžΆαžšαž’αž—αž·αžœαžŒαŸ’αžƒαž“αŸαž˜αž€αž‡αžΆ αž–αŸαžαŸŒαž˜αžΆαž“αž”αŸ’αžšαž…αžΆαŸ†αžαŸ‚ αž“αŸαŸ‡αž‘αžΎαž„ αžŠαžΎαž˜αŸ’αž”αžΈαž“αžΆαŸ†αž˜αž€αž‡αžΌαž“αž“αžΌαžœαž–αŸαžαŸŒαž˜αžΆαž“αžαŸ’αž˜αžΈαŸ— αž“αž·αž„αž€αžΆαžšαž™αž›αŸ‹αžŠαžΉαž„αžŸαŸŠαžΈαž‡αž˜αŸ’αžšαŸ…αž’αŸ†αž–αžΈ AI αž±αŸ’αž™αž€αžΆαž“αŸ‹αžαŸ‚αž‘αžΌαž›αŸ†αž‘αžΌαž›αžΆαž™αž‡αžΆαžšαŸ€αž„αžšαžΆαž›αŸ‹αžαŸ‚αŸ” 🌏 αž–αŸαžαŸŒαž˜αžΆαž“ AI αžŸαž€αž›αŸ– αž“αžΆαŸ†αž˜αž€αž‡αžΌαž“αž“αžΌαžœαžšαž”αž€αž‚αŸ†αž αžΎαž‰αž…αž»αž„αž€αŸ’αžšαŸ„αž™αž”αž„αŸ’αž’αžŸαŸ‹αž“αŸƒαž”αž…αŸ’αž…αŸαž€αžœαž·αž‘αŸ’αž™αžΆ AI αž…αžΆαž”αŸ‹αžαžΆαŸ†αž„αž–αžΈαž€αžΆαžšαž”αž„αŸ’αž€αžΎαžαžœαŸ‰αžΆαž€αŸ‹αžŸαžΆαŸ†αž„αžŠαŸ„αž™αž”αŸ’αžšαžΎ AI αž“αž·αž„αž€αžΆαžšαžšαžΈαž€αž…αž˜αŸ’αžšαžΎαž“αž•αŸ’αž“αŸ‚αž€αžŸαž“αŸ’αžαž·αžŸαž»αžαžŸαžΆαž™αž”αŸαžš αžšαž αžΌαžαžŠαž›αŸ‹αž’αž—αž·αž”αžΆαž›αž€αž·αž…αŸ’αž… αžŸαž»αžœαžαŸ’αžαž·αž—αžΆαž– αž“αž·αž„αž“αž·αžšαž“αŸ’αžαžšαž—αžΆαž–αž“αŸƒ AI αžŠαŸ„αž™αž”αž„αŸ’αž αžΆαž‰αž–αžΈαžšαž”αŸ€αž”αžŠαŸ‚αž› AI αž€αŸ†αž–αž»αž„αž•αŸ’αž›αžΆαžŸαŸ‹αž”αŸ’αžαžΌαžšαž‘αž˜αŸ’αžšαž„αŸ‹αž§αžŸαŸ’αžŸαžΆαž αž€αž˜αŸ’αž˜ αž“αž·αž„αžŸαž„αŸ’αž‚αž˜αž“αžΆαž“αžΆαž“αŸ…αž‘αžΌαž‘αžΆαŸ†αž„αž–αž·αž—αž–αž›αŸ„αž€αŸ” 🌏 αž–αŸαžαŸŒαž˜αžΆαž“αž€αŸ’αž“αž»αž„αžαŸ†αž”αž“αŸ‹αŸ– αž‚αŸ’αžšαž”αžŠαžŽαŸ’αžαž”αŸ‹αž›αžΎαžŸαž“αŸ’αž‘αž»αŸ‡αž“αŸƒαž€αžΆαžšαžšαžΈαž€αž…αž˜αŸ’αžšαžΎαž“ AI αž€αŸ’αž“αž»αž„αžαŸ†αž”αž“αŸ‹αž’αžΆαžŸαŸŠαžΈαž’αžΆαž‚αŸ’αž“αŸαž™αŸ αžšαž½αž˜αž˜αžΆαž“ αž•αŸ‚αž“αž‘αžΈαž”αž„αŸ’αž αžΆαž‰αž•αŸ’αž›αžΌαžœαžŒαžΈαž‡αžΈαžαž›αž†αŸ’αž“αžΆαŸ† ្០៣០ αžšαž”αžŸαŸ‹αž”αŸ’αžšαž‘αŸαžŸαž˜αŸ‰αžΆαž‘αŸαžŸαŸŠαžΈ αž™αž»αž‘αŸ’αž’αžŸαžΆαžŸαŸ’αžαŸ’αžš AI αžšαž”αžŸαŸ‹αž”αŸ’αžšαž‘αŸαžŸαž₯αžŽαŸ’αžŒαžΌαž“αŸαžŸαŸŠαžΈ αž—αžΆαž–αž‡αžΆαž’αŸ’αž“αž€αžŠαžΉαž€αž“αžΆαŸ†αžšαž”αžŸαŸ‹αž”αŸ’αžšαž‘αŸαžŸαžŸαž·αž„αŸ’αž αž”αž»αžšαžΈαž€αŸ’αž“αž»αž„αž€αž·αž…αŸ’αž…αžŸαž αž”αŸ’αžšαžαž·αž”αžαŸ’αžαž·αž€αžΆαžš AI αž€αŸ’αž“αž»αž„αžαŸ†αž”αž“αŸ‹ αž“αž·αž„αž‚αŸ†αž“αž·αžαž•αŸ’αžαž½αž…αž•αŸ’αžαžΎαž˜αž•αŸ’αžŸαŸαž„αŸ—αžšαž”αžŸαŸ‹αž’αžΆαžŸαŸŠαžΆαž“αžŠαŸ‚αž›αž€αŸ†αž–αž»αž„αž‡αŸ†αžšαž»αž‰αž€αžΆαžšαž’αŸ’αžœαžΎαž”αžšαž·αžœαžαŸ’αžαž€αž˜αŸ’αž˜αžŒαžΈαž‡αžΈαžαž› αž“αž·αž„αž“αžœαžΆαž“αž»αžœαžαŸ’αžαž“αŸαŸ” πŸ‡°πŸ‡­ αž–αŸαžαŸŒαž˜αžΆαž“αž‡αžΆαžαž·αŸ–β€‹ αž”αž“αŸ’αž›αž·αž…αž–αžΈαž€αžΆαžšαž›αžΌαžαž›αžΆαžŸαŸ‹αž“αŸƒαž”αŸ’αžšαž–αŸαž“αŸ’αž’αž’αŸαž€αžΌαž‘αžΌαžŸαŸŠαžΈ AI αž“αŸ…αž€αŸ’αž“αž»αž„αž”αŸ’αžšαž‘αŸαžŸαž€αž˜αŸ’αž–αž»αž‡αžΆ αž…αžΆαž”αŸ‹αžαžΆαŸ†αž„αž–αžΈαž€αžΆαžšαž’αž—αž·αžšαž€αŸ’αžŸαžŸαžαŸ’αžœαž–αŸ’αžšαŸƒαžŠαŸ„αž™αž”αŸ’αžšαžΎαž”αŸ’αžšαžΆαžŸαŸ‹αž”αž…αŸ’αž…αŸαž€αžœαž·αž‘αŸ’αž™αžΆ AI αž“αž·αž„αž‚αŸ†αž“αž·αžαž•αŸ’αžαž½αž…αž•αŸ’αžαžΎαž˜αžŸαŸ’αžšαžΆαžœαž‡αŸ’αžšαžΆαžœ AI αž€αŸ’αž“αž»αž„αžαŸ†αž”αž“αŸ‹ αžšαž αžΌαžαžŠαž›αŸ‹αž€αžΆαžšαž–αž„αŸ’αžšαžΈαž€αž αŸαžŠαŸ’αž‹αžΆαžšαž…αž“αžΆαžŸαž˜αŸ’αž–αŸαž“αŸ’αž’αžŒαžΈαž‡αžΈαžαž› αž€αžΆαžšαžœαž·αž“αž·αž™αŸ„αž‚αž›αžΎ AI αž“αž·αž„αž“αžœαžΆαž“αž»αžœαžαŸ’αžαž“αŸ αžŸαŸ’αžαž·αžαž€αŸ’αžšαŸ„αž˜αž•αŸ‚αž“αž‘αžΈαž”αž„αŸ’αž αžΆαž‰αž•αŸ’αž›αžΌαžœαž”αž…αŸ’αž…αŸαž€αžœαž·αž‘αŸ’αž™αžΆ αžœαž·αž‘αŸ’αž™αžΆαžŸαžΆαžŸαŸ’αžαŸ’αžš αž“αž·αž„αž“αžœαžΆαž“αž»αžœαžαŸ’αžαž“αŸαž€αž˜αŸ’αž–αž»αž‡αžΆαž†αŸ’αž“αžΆαŸ† ្០៣០ (Cambodia STI Roadmap 2030)αŸ” 🧭 αžŸαžΆαžšαž‚αž“αŸ’αž›αžΉαŸ‡αŸ– AI αž€αŸ†αž–αž»αž„αž•αŸ’αž›αžΆαžŸαŸ‹αž”αŸ’αžαžΌαžšαž–αž·αž—αž–αž›αŸ„αž€αž‘αžΆαŸ†αž„αž€αŸ’αž“αž»αž„αž€αž˜αŸ’αžšαž·αžαžŸαž€αž› αžαŸ†αž”αž“αŸ‹ αž“αž·αž„αž‡αžΆαžαž·αŸ” αž€αžΆαžšαž€αžŸαžΆαž„αž’αž“αžΆαž‚αž AI αž”αŸ’αžšαž€αž”αžŠαŸ„αž™αž”αžšαž·αž™αžΆαž”αž“αŸ’αž“ αž“αž·αž„αž“αž·αžšαž“αŸ’αžαžšαž—αžΆαž– αžαž˜αŸ’αžšαžΌαžœαž±αŸ’αž™αž˜αžΆαž“αž“αžœαžΆαž“αž»αžœαžαŸ’αžαž“αŸ αž€αž·αž…αŸ’αž…αžŸαž αž”αŸ’αžšαžαž·αž”αžαŸ’αžαž·αž€αžΆαžš αž’αž—αž·αž”αžΆαž›αž€αž·αž…αŸ’αž…αž”αŸ’αžšαž€αž”αžŠαŸ„αž™αž€αžΆαžšαž‘αž‘αž½αž›αžαž»αžŸαžαŸ’αžšαžΌαžœ αž“αž·αž„αž€αžΆαžšαžœαž·αž“αž·αž™αŸ„αž‚αž›αžΎαž’αž“αž’αžΆαž“αž˜αž“αž»αžŸαŸ’αžŸαŸ” αž€αž»αŸ†αž’αŸ„αž™αžαž€αžαžΆαž“αž‡αžΆαž˜αž½αž™αž€αžΆαžšαž™αž›αŸ‹αžŠαžΉαž„αžαŸ’αž˜αžΈαŸ—αž’αŸ†αž–αžΈ AIF αž“αž·αž„αž—αžΆαž–αž‡αžΏαž“αž›αžΏαž“αžšαž”αžŸαŸ‹ AI αž—αŸ’αž‡αžΆαž”αŸ‹αž˜αž€αž‡αžΆαž˜αž½αž™αž™αžΎαž„αŸ– https://aiforum.my.canva.site/linktree 🚨 AI Forum Monthly Newsletter | June Issue No. 01 is out now! First, thank you to everyone who has supported and read our Weekly AI Forum Newsletter. Your continued encouragement has inspired us to launch our new Monthly AI Newsletter, bringing you more comprehensive AI updates and insights each month. 🌍 Global AI News features the latest breakthroughs in AIβ€”from AI-designed vaccines and cybersecurity advances to AI governance, safety, and sustainabilityβ€”highlighting how AI is reshaping industries and societies worldwide. 🌏 Regional AI News covers Southeast Asia's AI momentum, including Malaysia's Digital 2030 roadmap, Indonesia's AI strategy, Singapore's leadership in regional AI cooperation, and ASEAN initiatives driving digital transformation and innovation. πŸ‡°πŸ‡­ National AI News highlights Cambodia's growing AI ecosystem, from AI-powered wildlife conservation and regional AI research initiatives to expanding digital infrastructure, AI investment, and innovation under the Cambodia STI Roadmap 2030. 🧭 Key message: AI is transforming the world at the global, regional, and national levels. Building an inclusive and sustainable AI future requires innovation, collaboration, responsible governance, and investment in people. πŸ”— https://www.aiforumcambodia.org/archives/publications/%F0%9F%9A%A8%E1%9E%96%E1%9F%90%E1%9E%8F%E1%9F%8C%E1%9E%98%E1%9E%B6%E1%9E%93-ai-%E1%9E%90%E1%9F%92%E1%9E%98%E1%9E%B8%E1%9F%97%E1%9E%87%E1%9E%BB%E1%9F%86%E1%9E%9C%E1%9E%B7%E1%9E%89%E1%9E%96%E1%9E%B7-39 #AIForum #MonthlyNewsletter #GlobalAINews #RegionalAINews #NationalAINews #ArtificialIntelligence #ASEAN #Cambodia
416
10
+7
No text...
783
11
αž“αŸ…αžαŸ’αž„αŸƒαž‘αžΈαŸ αŸ¨ αžαŸ‚αž€αž€αŸ’αž€αžŠαžΆ αž†αŸ’αž“αžΆαŸ†αŸ’αŸ αŸ’αŸ¦ αž›αŸ„αž€ αž†αŸ‚αž˜ αžŸαž·αžšαžΈαžœαžαŸ’αžαž· αžŸαž αžŸαŸ’αžαžΆαž”αž“αž·αž€αžšαž”αžŸαŸ‹ αž“αž·αž„αž‡αžΆαž”αŸ’αžšαž’αžΆαž“ AI Forum αž”αžΆαž“ αž…αžΌαž›αžšαž½αž˜αžŸαž·αž€αŸ’αžαžΆαžŸαžΆαž›αžΆαžŸαŸ’αžαžΈαž–αžΈ β€œαž…αŸαžαž“αžΆ αž“αž·αž„αž”αŸ’αžšαž–αŸαž“αŸ’αž’αž”αž‰αŸ’αž‰αžΆαžŸαž·αž”αŸ’αž”αž“αž·αž˜αŸ’αž˜αž·αžαŸ– αž†αž“αŸ’αž‘αŸˆαž˜αž“αžŸαž·αž€αžΆαžš αž“αž·αž„αž€αžΆαžšαž‘αž‘αž½αž›αžαž»αžŸαžαŸ’αžšαžΌαžœαž•αŸ’αž“αŸ‚αž€αžŸαžΈαž›αž’αž˜αŸŒβ€ αžŠαŸ‚αž›αžŸαž αž€αžΆαžšαžšαŸ€αž”αž…αŸ†αž‘αžΎαž„αžŠαŸ„αž™ αžŸαžΆαž€αž›αžœαž·αž‘αŸ’αž™αžΆαž›αŸαž™αžαŸαž˜αžαž·αž… (CamTech University) αžŸαžΆαž€αž›αžœαž·αž‘αŸ’αž™αžΆαž›αŸαž™αž”αž‰αŸ’αž‰αžΆαžŸαžΆαžŸαŸ’αžαŸ’αžšαž€αž˜αŸ’αž–αž»αž‡αžΆ (PUC) αž“αž·αž„ AI Forum αž“αŸ…αžŸαžΆαž€αž›αžœαž·αž‘αŸ’αž™αžΆαž›αŸαž™αžαŸαž˜αžαž·αž…αŸ” αžŸαž·αž€αŸ’αžαžΆαžŸαžΆαž›αžΆαž“αŸαŸ‡αž”αžΆαž“αž”αŸ’αžšαž˜αžΌαž›αž•αŸ’αžαž»αŸ†αž“αžΌαžœ αž”αž‰αŸ’αž‰αžœαž“αŸ’αž αž’αŸ’αž“αž€αžŸαž·αž€αŸ’αžŸαžΆαžŸαŸ’αžšαžΆαžœαž‡αŸ’αžšαžΆαžœ αž’αŸ’αž“αž€αžšαŸ€αž”αž…αŸ†αž‚αŸ„αž›αž“αž™αŸ„αž”αžΆαž™ αž“αž·αž„αž’αŸ’αž“αž€αž‡αŸ†αž“αžΆαž‰αž•αŸ’αž“αŸ‚αž€αž”αž‰αŸ’αž‰αžΆαžŸαž”αŸ’αž”αž“αž·αž˜αŸ’αž˜αž·αž (AI) αžŠαžΎαž˜αŸ’αž”αžΈαž–αž·αž—αžΆαž€αŸ’αžŸαžΆαž“αž·αž„αžŸαŸ’αžœαŸ‚αž„αž™αž›αŸ‹αž’αŸ†αž–αžΈαž”αž‰αŸ’αž αžΆαž”αŸ’αžšαžˆαž˜αž•αŸ’αž“αŸ‚αž€αžŸαžΈαž›αž’αž˜αŸŒ αž“αž·αž„αž‘αžŸαŸ’αžŸαž“αžœαž·αž‡αŸ’αž‡αžΆαž“αŸƒαž—αŸ’αž“αžΆαž€αŸ‹αž„αžΆαžšαž”αž‰αŸ’αž‰αžΆαžŸαž·αž”αŸ’αž”αž“αž·αž˜αŸ’αž˜αž·αž (Agentic AI)αŸ” αž›αŸ„αž€ αž†αŸ‚αž˜ αžŸαž·αžšαžΈαžœαžαŸ’αžαž· αž”αžΆαž“αžŸαž„αŸ’αž€αžαŸ‹αž’αŸ’αž„αž“αŸ‹αžαžΆ Β«αž…αŸ†αžŽαŸαŸ‡αžŠαžΉαž„Β» αž•αŸ’αžαž›αŸ‹αž±αŸ’αž™αž™αžΎαž„αž€αŸ’αž“αž»αž„αž€αžΆαžšαž”αž„αŸ’αž€αžΎαžαžαŸ’αž˜αžΈαŸ” Β«αž”αŸ’αžšαžΆαž‡αŸ’αž‰αžΆΒ» αž•αŸ’αžαž›αŸ‹αž€αžΆαžšαžœαž·αž“αž·αž…αŸ’αž†αŸαž™αž±αŸ’αž™αž™αžΎαž„αž”αž„αŸ’αž€αžΎαžαž‘αžΎαž„αžŠαŸ„αž™αž€αžΆαžšαž‘αž‘αž½αž›αžαž»αžŸαžαŸ’αžšαžΌαžœαŸ” រីឯ Β«αž˜αŸαžαŸ’αžαžΆΒ» αž•αŸ’αžαž›αŸ‹αž‚αŸ„αž›αž”αŸ†αžŽαž„αž±αŸ’αž™αž™αžΎαž„αž”αž„αŸ’αž€αžΎαžαž‘αžΎαž„αžŠαžΎαž˜αŸ’αž”αžΈαž•αž›αž”αŸ’αžšαž™αŸ„αž‡αž“αŸαžšαž½αž˜αŸ” αžαžŽαŸˆαž–αŸαž›αžŠαŸ‚αž› AI αž€αŸ†αž–αž»αž„αž”αž“αŸ’αžαž•αŸ’αž›αžΆαžŸαŸ‹αž”αŸ’αžαžΌαžšαž–αž·αž—αž–αž›αŸ„αž€αžšαž”αžŸαŸ‹αž™αžΎαž„ αž”αž…αŸ’αž…αŸαž€αžœαž·αž‘αŸ’αž™αžΆαžαŸ‚αž˜αž½αž™αž˜αž»αžαž‚αžΊαž˜αž·αž“αž‚αŸ’αžšαž”αŸ‹αž‚αŸ’αžšαžΆαž“αŸ‹αž“αŸ„αŸ‡αž‘αŸαŸ” αž—αžΆαž–αž‡αžΆαž’αŸ’αž“αž€αžŠαžΉαž€αž“αžΆαŸ† αžŸαžΈαž›αž’αž˜αŸŒ αž‘αžŸαŸ’αžŸαž“αžœαž·αž‡αŸ’αž‡αžΆ αž“αž·αž„αž‚αž»αžŽαžαž˜αŸ’αž›αŸƒαžšαž½αž˜αž“αŸƒαž˜αž“αž»αžŸαŸ’αžŸαž‡αžΆαžαž·αžšαž”αžŸαŸ‹αž™αžΎαž„ αž“αŸ…αžαŸ‚αž‡αžΆαž‚αŸ’αžšαžΉαŸ‡αžŠαŸαžŸαŸ†αžαžΆαž“αŸ‹αžŸαž˜αŸ’αžšαžΆαž”αŸ‹αž€αžΆαžšαž”αž„αŸ’αž€αžΎαžαžαŸ’αž˜αžΈαž”αŸ’αžšαž€αž”αžŠαŸ„αž™αž€αžΆαžšαž‘αž‘αž½αž›αžαž»αžŸαžαŸ’αžšαžΌαžœαŸ” αž‘αžΆαŸ†αž„αž“αŸαŸ‡αž‚αžΊαž‡αžΆαž‚αž»αžŽαžαž˜αŸ’αž›αŸƒαžŠαŸ‚αž›αž‚αŸ’αž˜αžΆαž“αž˜αŸ‰αžΆαžŸαŸŠαžΈαž“αž’αžΆαž…αž‡αŸ†αž“αž½αžŸαž”αžΆαž“αž‘αžΎαž™αŸ” αžαžŽαŸˆαž–αŸαž›αžŠαŸ‚αž›αž˜αŸ‰αžΆαžŸαŸŠαžΈαž“αž”αž“αŸ’αžαžœαž·αžœαžŒαŸ’αžαž‘αŸ…αž˜αž»αžαž₯αžαžˆαž”αŸ‹αžˆαžš αžŸαžΌαž˜αžšαž€αŸ’αžŸαžΆαž‚αž»αžŽαžαž˜αŸ’αž›αŸƒαž“αŸƒαž˜αž“αž»αžŸαŸ’αžŸαž‡αžΆαžαž·αŸ” On July 8, 2026, Mr. Chhem Siriwat, Co-Founder and President of AI Forum, attended the siminar of β€œCetanā and Agentic AI: Intention and Moral Responsibility,” co-hosted by CamTech University, Paññāsāstra University of Cambodia (PUC), and AI Forum at CamTech University. The seminar brought together academics, researchers, policymakers, and AI practitioners to explore the ethical and philosophical challenges of agentic AI, with discussions on cetanā (intention), moral responsibility, and trustworthy AI governance. His message stands above all: Knowledge gives us the power to create. Wisdom gives us the judgment to create responsibly. Compassion gives us the purpose to create for the common good. As AI continues to transform our world, technology alone is never enough. Leadership, ethics, philosophy, and our shared humanity remain the foundation for responsible innovation. These are values that no machine can replace. As machines continue to evolve, stay human. ***Connect with us: https://aiforum.my.canva.site/linktree #AIForum #CamTechUniversity #PUC #AgenticAI #AIEthics #ResponsibleAI #AIGovernance
888
12
πŸš€ We’re Starting Soon! Join us at CamTech University for an engaging seminar on: Cetanā and Agentic AI: Intention and Moral
πŸš€ We’re Starting Soon! Join us at CamTech University for an engaging seminar on: Cetanā and Agentic AI: Intention and Moral Responsibility As AI becomes increasingly autonomous, how should we understand intention, ethics, and accountability? This seminar brings together experts from philosophy, technology, and public policy to explore the future of responsible AI. πŸ“ Venue: CamTech University Co-hosted by: β€’ CamTech University β€’ Paññāsāstra University of Cambodia (PUC) β€’ AI Forum We look forward to welcoming you!
115
13
πŸš€ We’re Starting Soon! Join us at CamTech University for an engaging seminar on: Cetanā and Agentic AI: Intention and Moral
πŸš€ We’re Starting Soon! Join us at CamTech University for an engaging seminar on: Cetanā and Agentic AI: Intention and Moral Responsibility As AI becomes increasingly autonomous, how should we understand intention, ethics, and accountability? This seminar brings together experts from philosophy, technology, and public policy to explore the future of responsible AI. πŸ“ Venue: CamTech University Co-hosted by: β€’ CamTech University β€’ Paññāsāstra University of Cambodia (PUC) β€’ AI Forum We look forward to welcoming you!
1
14
AIF Insights No. 23 (2026) | Artificial Intelligence: The Emerging Legal Landscape (2025-2026 Update) This article examines the rapidly evolving global legal landscape of artificial intelligence (AI) and intellectual property from 2025 to 2026, focusing on regulatory updates and pivotal litigation in the United States, the European Union, the United Kingdom, and Cambodia. It details how recent developments -such as the implementation of the EU AI Act, new reports from the US Copyright Office, and fact-specific federal court rulings-are pushing Al copyright frameworks toward principles of data transparency, voluntary licensing, and creator protection against market substitution. Furthermore, the paper clarifies the overlapping compliance risks between copyright law, data protection, and broader Al governance. It concludes with practical risk-management recommendations for Al developers, content creators, and businesses, while offering Cambodia as a case study for how developing nations can build balanced, autonomous Al policies tailored to their unique domestic and regional realities. Read: https://www.aiforumcambodia.org/archives/publications/artificial-intelligence-the-emerging-legal-landscape-2025-2026-update
131
15
AIF Insights No. 22 (2026) | Learning with AI in Cambodia: A Phenomenological Perspective on Exam-Oriented Classrooms This article examines the integration of Artificial Intelligence (AI) within Cambodia’s high-stakes, exam-oriented academic system through a phenomenological perspective. The authors argue that while AI toolsβ€”such as the Ministry of Education, Youth and Sport’s Capacity Development Platform (CDP)β€”expand access, flexibility, and personalized support, they simultaneously reconfigure student intentionality and create a β€œParadox of Agency”. This paradox highlights a tension between academic enhancement and detrimental cognitive offloading, where students risk sacrificing independent reasoning and deep critical thinking for algorithmic efficiency and immediate outputs. Under constant evaluative pressure, learning is transformed from an open-ended exploration into a defensive act of uncertainty reduction aimed primarily at reproducing correct exam answers. Ultimately, the paper suggests that AI adds a complex non-human mediator to the traditional teacher-student dynamic, and calls for a systemic shift in educational policy toward inquiry-based, process-oriented assessments and active teacher mediation to preserve students’ independent cognitive agency. Read: https://www.aiforumcambodia.org/archives/publications/aif-insights-no-22-2026-learning-with-ai-in-cambodia-a-phenomenological-perspective-on-exam-oriented-classrooms
158
16
AIF Insights No. 21 (2026) |The Strategic Imperative of Dual-Use Agility: Bridging Peacetime Innovation and Wartime Readiness In the contemporary global security landscape, the traditional distinction between civilian and military industrial bases is rapidly eroding, prompting a strategic shift toward Civil-Military Integration (CMI) to maintain national resilience. As detailed in β€œThe Strategic Imperative of Dual-Use Agility.pdf”, maintaining a separate, autarkic defense sector is economically inefficient for developing nations with limited budgets. Instead, establishing a unified industrial ecosystem that is β€œdual-use by design” creates a crucial β€œfast switch” capability, allowing peacetime economic engines to be rapidly repurposed for defense during sudden crises. By capitalizing on the rapid pace of commercial innovation in priority sectors like microelectronics, drones, cybersecurity, and modular logistics, nations can optimize limited R&D resources and utilize flexible manufacturing to pivot production on demand. While this deep integration introduces a dual-use security dilemmaβ€”where blurred lines between commercial and military applications can trigger foreign export controls and trade restrictionsβ€”fostering an agile dual-use technology base ultimately ensures a pragmatic balance between wartime readiness, technological independence, and long-term economic resilience. Read: https://www.aiforumcambodia.org/archives/publications/aif-insights-no-21-2026-the-strategic-imperative-of-dual-use-agility-bridging-peacetime-innovation-and-wartime-readiness
104
17
AIF Insights No. 20 (2026) |Β The AI Wave in Defense: A Framework for Modern Security and Strategic Sovereignty This article explores the paradigm shift from informatized to intelligentized warfare, demonstrating how developing nations can utilize artificial intelligence (AI) as a dual-use, general-purpose technology to leapfrog traditional military disparities and secure strategic sovereignty. The author introduces a pragmatic three-pillar framework for defense modernization that outlines the digital transformation of military capabilities: optimizing the tactical edge and operational kill chains, enhancing command-level decision-making through predictive modeling, and maximizing resource readiness via automated logistics and personnel management. Throughout this technological evolution, the article emphasizes that operational integration must be coupled with rigorous data governance, domestic talent development, and robust legal and ethical safeguardsβ€”including maintaining meaningful human control and adhering to international humanitarian lawβ€”to ensure smaller states transition from passive technology rule-takers to active rule-makers in the global security landscape. πŸ”—: https://www.aiforumcambodia.org/archives/publications/aif-insights-no-20-2026-the-ai-wave-in-defense-a-framework-for-modern-security-and-strategic-sovereignty
92
18
AIF Insights No. 19 (2026) | Using Generative AI for Research: From Research Assistant to Responsible Companion in Healthcare Research This article explores the integration of generative artificial intelligence (GenAI) in healthcare research, balancing its efficiency and methodological benefits with potential risks to research integrity, data privacy, and ethical responsibility. Focusing on the context of healthcare professionals in low- and middle-income countries like Cambodia, the author proposes a Model-Mode-Task-Verification paradigm to establish safe, structured workflows for literature exploration, study design, data analysis, and academic writing. Ultimately, the article emphasizes that GenAI must serve strictly as a disciplined, transparently disclosed assistant, leaving final accountability, epistemic authority, and human judgment entirely in the hands of the researchers. πŸ”—: https://www.aiforumcambodia.org/archives/publications/aif-insights-no-19-2026-using-generative-ai-for-research-from-research-assistant-to-responsible-companion-in-healthcare-research
452
19
AIF Insights No. 18 (2026) | Becoming AI-Ready as a Health Professional: From Using Tools to Exercising Professional Judgment in an AI-Augmented World As generative artificial intelligence (GenAI) becomes increasingly embedded in health professions education, clinical practice, and research, technical fluency alone no longer guarantees professional readiness. This insight article explores what it means for healthcare professionals to be β€œAI-ready,” shifting the focus from tool mastery to the preservation of professional judgment, clinical accountability, and ethical safeguards. Emphasizing practical, real-world application over abstract theory, the author highlights the critical importance of a human-in-the-loop approach, rigorous verification habits, and explicit contextual awareness, particularly within resource-constrained healthcare settings like Cambodia. Ultimately, the paper provides actionable frameworksβ€”including a tiered risk alignment model and a reflective self-assessment checklistβ€”to ensure that clinicians, educators, and medical students utilize GenAI safely to enhance efficiency while maintaining absolute human accountability for patient outcomes. Read: https://www.aiforumcambodia.org/archives/publications/aif-insights-no-18-2026-becoming-ai-ready-as-a-health-professional-from-using-tools-to-exercising-professional-judgment-in-an-ai-augmented-world
110
20
AIF Insights No. 17 (2026) | The Epoch of Intelligence: Navigating the Socio-Economic Trajectories of Artificial Intelligence Toward 2050 and 2100 This article explores the profound socio-economic trajectories of Artificial Intelligence (AI) as it reshapes global techno-economic paradigms toward the 2050 and 2100 horizons. Author Dr. Ros Sayumphu outlines a critical tension between β€œAI Abundance”—marked by a potential USD 15.7 trillion economic boost by 2030, massive productivity gains, climate resilience, and medical breakthroughsβ€”and β€œDigital Darwinism,” which threatens massive cognitive labor displacement, algorithmic bias, high environmental costs, and a β€œNext Great Divergence” between tech elites and developing nations. To mitigate the existential risks of societal collapse and ensure human-centric flourishing, the author argues that global stakeholders must proactively shift away from techno-solutionism. This requires a concerted effort to overhaul education toward human-AI augmentation, establish robust international governance like a β€œCompute Ledger Treaty,” bridge the digital infrastructure divide in the Global South, and transition toward circular, data-driven economies. Ultimately, the paper concludes that AI is a socio-political reflection of human choices, positioning the year 2100 as the definitive test of humanity’s capacity to equitably govern superintelligence for the common good. πŸ”—: https://www.aiforumcambodia.org/archives/publications/aif-insights-no-17-2026-the-epoch-of-intelligence-navigating-the-socio-economic-trajectories-of-artificial-intelligence-toward-2050-and-2100
366