TAIPEI – Artificial intelligence is already changing how advertising is conceived, produced, targeted and reviewed. The unresolved issue is no longer whether agencies will use the technology, but who will help an entire profession decide what responsible use looks like. When technology changes faster than professional practice, an association cannot predict every tool or write a permanent rulebook. It can, however, organise the process through which an industry decides, tests and updates responsible practice. When DigiAsia Taipei meets from 27 to 30 October, that question will sit behind its promise to put human creativity, empathy and curiosity at the centre of AI-enabled marketing.
The seventh edition of the biennial congress is authorised by the Asian Federation of Advertising Associations (AFAA) and organised by the Taipei Association of Advertising Agencies (TAAA). Under the theme ‘HEARTificial Intelligence Marketing’, organisers list more than 20 keynote speeches, two panel discussions and four AI showcases or site visits. The public framing emphasises a symbiotic relationship between people and machines rather than a contest between them.
That is a distinctive theme, but human warmth is not itself a professional standard. Advertisers also face practical questions about disclosure, accuracy, copyright and intellectual property, cultural sensitivity, accountability and the training of people who approve AI-assisted work. Those questions affect clients and the public as well as creative teams. They also require action across agencies, media, platforms, professional bodies and regulators.
A Governance Network Already in Place
DigiAsia has an association structure capable of convening that wider discussion. It is authorised by AFAA, whose public membership list spans markets from Bangladesh, Nepal and India to Japan, South Korea and Vietnam. TAAA is working with local marketing and communications bodies representing digital media, accredited agencies, media agencies and public relations, while the International Advertising Association (IAA) is also a co-organiser. The working committee includes leaders from several of those organisations, placing different parts of the advertising value chain inside the same governance structure.
AFAA’s own objectives make AI governance relevant to its core mandate. The federation says it exists to unite Asian advertising associations, upgrade standards, ethics and practice, coordinate workforce development, centralise regional information and foster self-regulation. It also describes its role in supporting advertising across the region’s different conditions and cultures. The question for DigiAsia is therefore not whether an association should enter the AI debate, but how those established responsibilities should be applied to a technology that is advancing faster than customary practice.
Evidence of Action – and an Evidence Gap
One co-organiser has already moved beyond general discussion. On 3 August, the IAA issued a statement on new European Union AI Act transparency requirements for advertising. It urged members to assess their use of AI-generated and manipulated content, update internal processes and equip their teams to meet the rules. The statement also defended industry self-regulation as a complement to legal compliance and linked credible guidance to public trust.
The European rules do not provide a single template for Asia, but the IAA response shows what association leadership can do: interpret a changing regulatory environment, communicate what it means for practice and prepare members before enforcement problems emerge. The presence of IAA Global Chair and World President Fredrik Boreström at DigiAsia gives the congress a direct connection to that work.
Evidence from DigiAsia itself is still limited. At the time of reporting, the detailed agenda entries for 28, 29 and 30 October were marked ‘Coming soon’ on the event website. Public materials explain the three themes – AI x Creativity, AI x Empathy, and AI x Curiosity – but do not yet indicate whether sessions will address disclosure, factual verification, rights and consent, cultural review, lines of accountability, or member training. These subjects may still be planned; the available programme does not yet provide a basis for saying that they are.
Regional Principles, Local Application
The regional dimension makes the governance task more demanding. AFAA’s membership spans markets with different languages, cultural references, regulatory systems and expectations of AI. A common principle on transparency may be widely useful, while the wording of a disclosure, the legal basis for using a person’s likeness or the treatment of culturally sensitive material may require local guidance. A federation that imposes a single detailed rule everywhere risks ignoring these differences; a network that offers no common baseline leaves members to address shared risks on their own.
Consider the practical differences: in Japan, there is ongoing discussion about AI and copyright in advertising; in India, regulators are examining AI’s impact on consumer protection; in Australia, industry codes are being updated to address synthetic media; in Southeast Asian markets, cultural sensitivity around AI-generated imagery varies considerably. An association network that acknowledges these differences while providing common principles is better positioned to serve its diverse membership than one that either ignores them or imposes a one-size-fits-all rule.
The evidence now available points to a practical division of labour. A regional body can agree on the principles that should travel across borders – transparency, human accountability, accuracy, respect for rights and protection of trust. National and specialist member associations can then translate those principles into local guidance, examples and training. Their experience can flow back to the federation, allowing common practice to change as technology, regulation and public expectations develop.
That process would also give the congress a purpose beyond inspiration. Speakers and case studies could surface risks and working methods; cross-association sessions could identify areas of agreement; and a named working group could carry unresolved questions into guidance or professional development after delegates leave Taipei. The model does not require every market to adopt identical rules. It requires a visible route from regional discussion to member practice.
The Test After Taipei
DigiAsia’s success as an association leadership event will therefore depend on what follows the theme. A published set of principles, a consultation among member associations, a standing AI working group, member training or a timetable for guidance would show that the network is helping the profession govern change. If the event ends with examples of efficient production and appeals to human creativity, the harder questions of responsibility will remain with individual organisations.
For Association Commons readers, the transferable question is this: when a technology transforms an industry faster than professional standards can keep up, what should an association do? The DigiAsia case suggests three roles: first, convene the relevant stakeholders – agencies, platforms, regulators, educators – to identify the emerging risks and responsibilities; second, establish principles that can travel across borders while leaving room for local adaptation; third, create a mechanism – a working group, a consultation process or a training programme – that carries the work forward after the meeting ends.
DigiAsia 2026 has the reach, the cross-sector committee and the stated ethical mandate to begin that work. Its legacy will be measured by whether those assets produce shared action after Taipei, not only a persuasive case for keeping people at the heart of AI.
