SAS Paving the Way for Trustworthy AI in Data Analytics
The topic of Artificial Intelligence (AI) might seem quite oversaturated if you are a regular reader of Tech News, but this week we cover an important area where a huge percentage of organisations should focus their attention. Can AI be made trustworthy? SAS covers the topic of making trustworthy AI and navigating around pitfalls when properly integrating generative AI. This week in Singapore, SAS hosted its SAS Innovate Event at the Park Royal Collection Hotel. Its 500+ attendees made up of partners and mostly customers, were all enthusiastic and attentive to SAS’ important messaging for its AI services which revolved around three main themes: Trust, Transparency and Sharing.
These themes not only relate to the customers or resellers of AI but also to the public sector and civilians of nations around the globe, which two SAS executives; Steve Bennett, (Senior Director, Office of Public Readiness and Corporate Planning & Director, Public Sector and Financial Services Practice, SAS) and Kalliopi Spyridaki (Chief Privacy Strategist, EMEA & Asia Pacific, SAS), share insight on in great detail during a 1-1 interview with AOPG to be published shortly. In a nutshell, the question of trustworthy AI and how to navigate the newly developing policies as well as regulation on AI in APAC is a topic that all digital organisations need to get familiar with, and quickly!
At SAS Innovate, these themes, from what I have understood, seem to go hand in hand. ‘Trust’ in AI must be established first to see it properly integrated and utilised in both private and public sectors. But to get trust, you have to have the second theme, ‘transparency’. SAS demonstrates that its values include educating its audience not only about the technology and framework behind generative AI but also about navigating the policies and regulations on AI as well. By not just teaching but sharing the inner workings of how SAS’ AI solutions and policy standards work, they are able to maintain a level of transparency with customers by ‘sharing’ these resources and insight openly with customers, which is the last theme that was emphasised throughout the event. SAS even invest its time and resources in the next generation of talent at universities across the globe, including at Singapore’s own Singapore Management University, from which Jason G. Allen, (Director, Centre for AI and Data Governance), was present to both moderate on one of their government-track panels and give praise to SAS for.
SAS, being one of the Global Leaders in Data Analytics, has navigated the numerous regulations and policies behind data protection and privacy for over 40 years. With that tenure, they are making important strides to address and confront the world’s concerns about AI in both the public and private sectors. This is exactly what both Steve Bennett and Kalliopi Spyridaki dive deep into in their interviews with AOPG.
