Ethics and Guidelines for AI Impact Partners
This multifaceted approach ensures that SAP products with AI elements are adopted will be tailored to SAP's AI ethics.
The vendor's global AI ethics policy is based on the UN Education, Science and Cultural Organization (UNESCO) set of 10 principles based on ethics and human rights.
It is designed to guide the use of AI at every stage of the system lifecycle and includes the following principles: defined purpose, need, proportionality. Safety and security; fairness and non-discrimination; sustainability; rights to privacy, data protection and data governance. Human autonomy and surveillance; transparency and explainability. Responsibility and accountability. Inclusion and participation.
SAP has also established governance bodies such as the AI Ethics Steering Committee and the AI Ethics Advisory Panel, incorporating data privacy and security prioritization, and sustainability.
In the case of McGibbon, these guiding principles were intimately in line with the pioneer talk track of human-centered AI and responsible technology Dr Catriona Wallace.
Frameworks is in place, but at this point, Wallace says there is nothing legally accountable to anyone today for what AI can do.
“That's why you choose who you are affiliated with and how you choose. [AI] It is important that it is designed and deployed in your company [and] Things you can do with a trusted partner,” she said.
In her speech, Wallace said it was appropriate that the tech giant, its suppliers, and its client leaders should step into the role of ethical leaders and direct “where the future of humanity and AI can go.”
“AI should be designed in human society and environments that have that level of happiness. We should not sacrifice these three stakeholders,” she said. “AI needs to be human-centered value design at its core.”
Responsible AI reduces harm and avoids unintended consequences. AI must be reliable and secure. It is transparent and explainable.
“It should be a fight and accountable,” Wallace said. “Accountability lies with companies where AI is deployed.”
McGibbon said this is one of the reasons why SAP makes AI ethics “very serious.” This coincides with customers like SA Power Network, which use Global AI Ethics Standards to build “internally their own boundaries.”
AI has also evolved consistently as the nature of the landscape changes, she noted. So building AI around three principles: relevance, reliability and responsibility is a good way to get started.
They also need to continue to speak to technology vendors such as SAP from a genuine perspective and educate them about product changes. From the perspective of enablement and partner capabilities, vendors realized that technology was moving quickly.
“About two months ago I was running my partner's acceleration boot camp in New Zealand,” McGibbon said. “We have around 80 partners and covered topics related to SAP Business AI and business cloud products,” she said. “Using all the new technologies we do, we put everyone in our room, [including] Experts [for] Two-day workshop.
“We then followed up with pre-sales verification and demos. [of] software [and] Coaching based on demonstrations…We make sure they understand the concept and explain it to our customers in a way that makes sense. ”
According to McGibbon, SAP A/NZ has recently adopted a new role in the region dedicated to supporting partners with SAP Business AI and SAP Business Data Cloud.
Regional Growth Solutions Head – As an AI and business data cloud for the success of the Asia-Pacific partner ecosystem, Johnny Wong is focusing on SAP's growth initiatives for partners in the region, she said.
Lilia Guan traveled to SAP Now AI 2025 as a guest on SAP.
