CIO OPINION
By prioritising responsible deployment and usage , organisations can mitigate risks and ensure that the benefits of generative AI are maximised while minimising harm .
Lim Hsin Yin , Managing Director of
Singapore , SAS Institute
Responsible AI deployment as the key to long-term success
Lim Hsin Yin , Managing Director of Singapore , SAS Institute , says that while many organisations are already leveraging generative AI to their advantage , it is crucial not to overlook the importance of deploying it in a responsible , ethical and safe manner .
Decades ago , AI was depicted in the media as either a fantastic transformer of worlds or a dystopian entity .
With generative AI being the talk of the town , many are talking about its groundbreaking benefits and potential use cases .
For instance , generative AI can enable financial institutions to tailor investment strategies to individual client preferences . In healthcare , it could help providers automate the transcription of clinicianpatient interactions .
Meanwhile , manufacturers could utilise it to conduct predictive maintenance on assembly lines . This demonstrates the ability of generative AI to go through massive amounts of data to analyse and derive insights from , gain human-like recognition of natural language , and even replicate and automate human behaviours .
But many are also talking about the challenges of Artificial Intelligence , both actual and potential , as its development poses questions of existing regulatory frameworks . Failure to do so could lead to reputational damage , a loss of public confidence in AI , and potentially burdensome government regulations in response .
As the responsibility over ethical AI use is as much one for businesses as it is for governments , the former should proactively address these challenges by
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