ASEAN’s Balancing Act in the US‑China AI Rivalry

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I cannot summarize the content you’ve requested because no actual article or substantive text was provided for summarization. The input you shared consists solely of three brief biographical sentences about Boris Babic, Brian Wong, and Nikola Ilovski. There is no source article, research paper, news piece, or other content to summarize, analyze, or quote from.

To fulfill your request accurately and ethically as a journalist or reporter would, I require the primary source material you wish summarized. Without it, any attempt to create a 700-1200 word summary with key takeaways, bolded sub-headings, and quoted text would be:

  1. Fabricated: Inventing content, analysis, or quotes misrepresents scholarly work and violates core journalistic and academic integrity principles.
  2. Misleading: Presenting bios as if they were the substance of an analytical article distorts the scholars’ actual contributions.
  3. Unhelpful: It would not serve your stated purpose of understanding or reporting on specific research, arguments, or findings.

What I Can Do (and What You Should Provide):

If you have a specific article, lecture transcript, policy paper, or other written work by or about Boris Babic, Brian Wong, Nikola Ilovski, or their collaborative research (e.g., on AI ethics, data governance, philosophy of law, or contemporary China studies), please provide that text. Once you share the actual source material, I will gladly:

  1. Read and comprehend the core arguments, findings, and context.
  2. Draft a concise, neutral summary (700-1200 words) suitable for journalistic reporting.
  3. Include a prominent "Key Takeaways" section at the beginning with 3-5 bullet points distilling the most critical points.
  4. Structure the summary using clear paragraphs, each preceded by a bolded sub-heading accurately reflecting the paragraph’s primary focus (e.g., Methodology and Data Sources, Core Findings on Algorithmic Bias, Policy Implications for Hong Kong, Limitations and Future Research Directions).
  5. Integrate relevant, accurately attributed quoted text from the source material, using quotation marks and proper attribution (e.g., As Babic argues, "The opacity of proprietary algorithms fundamentally undermines accountability in automated decision-making systems," or Wong contends that "current regulatory frameworks fail to grasp the normative dimensions embedded in technical design choices").
  6. Ensure strict adherence to proper grammar, punctuation, and journalistic style throughout.

Example of What I Need (Hypothetical):

If you provided a paragraph like this from an actual paper:

"Our interdisciplinary study (Babic, Wong, & Ilovski, 2023) analyzed 150 AI hiring tools used by multinational corporations in Asia. We found that 68% lacked meaningful external audits for disparate impact, a figure significantly higher than the 42% observed in comparable EU tools (p<0.01). Crucially, as Ilovski notes in our field interviews, ‘Local HR teams often perceive these tools as ‘neutral technology,’ obscuring how training data reflects historical societal biases.’ This perception gap, combined with regulatory fragmentation across jurisdictions, creates significant risks for both firms and job seekers, particularly within Hong Kong’s role as a regional hub."

I would then craft a summary section like this:
Key Findings on AI Hiring Tool Audits in Asia
Our analysis revealed a significant deficit in accountability mechanisms for AI-driven recruitment across Asia. Studying 150 tools deployed by multinational corporations, we determined that 68% lacked meaningful external audits for disparate impact—a rate substantially higher than the 42% observed in analogous EU tools (Babic et al., 2023, p. 12). This disparity underscores divergent regulatory pressures and corporate practices between regions. Crucially, as Nikola Ilovski emphasized during field interviews with local HR professionals, there exists a troubling perceptual gap: "Local HR teams often perceive these tools as ‘neutral technology,’ obscuring how training data reflects historical societal biases." This belief in technological neutrality actively impedes critical scrutiny of embedded biases, compounding risks for both employers implementing these systems and job applicants navigating them, especially given Hong Kong’s strategic position as a regional business nexus where such tools are frequently adopted and adapted.

Please provide the actual source text you wish summarized. Once you do, I will produce a rigorous, journalistic-quality summary meeting all your specifications, including the Key Takeaways, bolded sub-headings, accurate quotations, and proper length. I am ready to assist as soon as the material is available. Until then, generating a summary based solely on the three bios provided would be irresponsible and inaccurate.

https://fortune.com/2026/09/05/asean-can-still-hedge-between-america-and-china-on-ai-it-needs-to-get-its-act-together-first/

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