AI tools have become an integral part of operations for a wide variety of APAC enterprises already. From digital marketing firms to other web-based and eCommerce enterprises, more and more APAC entrepreneurs and startups are utilising AI tools to do everything from generating high conversion content to creating no-code business applications and workflow automations.
But as they say, with great power (and improved productivity!) comes great responsibility. And the best way to ensure that enterprises use AI as ethically as possible is to invest in a tailored company AI policy.
The elements of your AI policy will naturally depend on your commercial use of AI. And companies within industries that are more likely to benefit from but also accrue risk factors due to AI, will naturally need to invest in AI policy development as promptly as possible to maintain a competitive edge in today’s age of AI.
Below, we’ll be outlining 7 key APAC industries that can unequivocally benefit from early adoption of AI policies.
Top 7 Industries that Will Benefit from Early Adoption of AI Policies
1. Creative Industries
AI is already revolutionising the marketing sector across APAC, providing digital strategists with more opportunities to streamline and optimise their campaign management, and equip them with the tools they need to get content prepped and published faster.
But digital marketing isn’t the only creative industry that can benefit from AI policy implementation. With more graphic designers using AI to generate images, for instance, investing in AI policies denoting ethical production and publication guidelines of generated image assets is an absolute must.
The same goes for entertainment industry professionals like animators, illustrators, authors, screenwriters, and all the other specialists working across storytelling mediums. If you’re using AI to create original content, robust AI policies can help reduce your risks of being subject to copyright infringements.
2. Legal & Financial Services
For banks, insurance providers, and even financial journals, ensuring quality of content and combating misinformation is always of the utmost importance. This is why YMYL (your money, your life) content guidelines are already being used to maintain commercial accuracy of content and to mitigate very real risks of financial service providers expressly giving advice in any web content, interviews, or other written content. Any advocacies you make for investing strategies or recommendations of select financial services can leave you liable for indemnity claims if they result in financial loss to consumers who’ve engaged with that content.
This also goes for other specialised industries where professionals are often prompted to give advice – like consulting and even legal services. In the legal sector, AI is being used for a wide variety of applications, from writing client emails to generating detailed contracts. Without a strong AI policy in place that outlines guidelines for quality assessment, law firms may be providing contracts with gaps between their clauses, which may go on to affect client relationships and case outcomes.
3. Security & ICT
In cybersecurity and ICT, the integration of AI tools comes with increased concerns of data breaches. After all, dynamic workflow automations that require AI tools to communicate with other platforms and apps can leave gaps which are vulnerable to malware or hacker activities.
Thankfully, a lot of AI software developers are actually taking these security concerns into account, which is why we’re seeing more frequent patch updates for AI tools worldwide. Support from these software providers in tandem with robust security protocols can help ICT agencies protect themselves and their staff from AI security threats.
4. Manufacturing
In manufacturing and supply chain management, AI tools are being used to facilitate workflows between machines and even run automated diagnostics. Like ICT automations, this can help seriously streamline production processes – but at the cost of a little digital security.
Again, AI policies can help fill these security gaps, making sure that the digital transformation of the manufacturing sector with AI integration can stay smooth and risk-free.
5. Government
For government agencies, irresponsible use of AI can naturally have nationwide implications. Poor attention to detail in using AI to write parliamentary motions or even policy amendments can lead to potentially costly mistakes.
Content authenticity is another major consideration for AI policy development in governmental departments. For internal communications and even media outreach like government press releases, ensuring all content is authorised by official parties is essential. With robust AI policies in place, however, government officials can better ensure any content (written or graphic) produced and distributed by their organisations are authentic and quality checked.
6. Healthcare
In the healthcare sector, AI is being used for a wide variety of purposes, from streamlining patient care and record-keeping to improving diagnostics accuracy via IIoT medical tech, and even strengthening digital systems. For this sector, however, maintaining accuracy in treatment planning is naturally a must, as is combating medical biases that may result in misdiagnoses or late diagnoses.
AI policies in healthcare institutions can help ensure that these risk factors are routinely addressed, and that professionals are using AI tools and systems in compliance with industry standards and regulatory requirements.
7. Education
The APAC region is one of the most potent early adopters of AI in education, which is showcased even in the rise of EdTech across the region. Now, educators are using AI tools for assessment marking, learning portal management, and even in supporting AI skills-building in the classroom.
Here, AI policies can help ensure educators and students alike are using AI tools responsibly, supporting younger generations in building healthy relationships with AI integration.
Get Ahead of the Curve with AI Policy Development for your Industry
If you work within any of the industries we’ve outlined above, communicating with your colleagues and stakeholders can help get the ball rolling on your own AI policy development initiatives.
Be sure to broach the topic with your business leaders promptly to make sure your enterprise is poised to maintain a competitive advantage through early adoption of AI policy development.
