Betting big on GenAI, SAP introduced a range of generative AI solutions at its recently concluded TechED flagship event. The company aims to revolutionize enterprises and industries through transformative technology. However, a significant challenge faced by the industry worldwide is the presence of bias within AI models and algorithms. Addressing this concern, SAP has committed to ensuring that its generative AI solutions are free from stereotypes and biases.
SAP, a German software giant, has emphasized the importance of a risk-based approach to AI regulation. The company believes that AI can bring about efficiency and climate action, and India has the potential to lead in this field. SAP is pleased to see that the Indian government is working toward future-proof AI policies. Additionally, the company believes that governments around the world should strike a balance between innovation and regulation in AI.
In June of this year, NASSCOM, the association representing the IT and business process management sector, issued comprehensive guidelines for responsible AI, particularly for GenAI. These guidelines aim to establish normative responsibilities for researchers, developers, and users involved with GenAI models and applications, promoting a responsible approach to the adoption of this technology. To enhance transparency and accountability, the guidelines also require mandatory public disclosures of data and algorithm sources used for modeling.
SAP introduced various GenAI offerings, such as the vector engine on SAP HANA Cloud, SAP Build Code solutions, and a generative AI hub in SAP AI Core, at its recent TechED event. The company acknowledges the presence of biases in AI and is actively working to eliminate them. Through research and experimentation, SAP is exploring the use of synthetic data to develop training datasets that are free from inherent biases. By tuning these datasets, SAP aims to overcome data bias and improve the accuracy of AI models.
To ensure the accuracy and reliability of AI models, synthetic data has emerged as a new approach. This method helps alleviate the challenges associated with manual data acquisition, annotation, and cleaning. Synthetic data generation provides realistic data with properties similar to real-world data, but it can be created on-demand, customized to specific requirements, and obtained in a significantly reduced timeframe. Global market intelligence firm Gartner predicts that by 2024, 60% of data used in AI development will be synthetic rather than real.
Max Wessel, Chief Learning Officer at SAP, expressed confidence that as AI technology advances, inherent biases will be overcome. Wessel believes that advancements in underlying technology and a conscious understanding of the data’s match to reality will lead to fairer AI models.
In conclusion, SAP is committed to ensuring that its GenAI solutions are free from stereotypes and biases. The company supports a risk-based approach to AI regulation and believes in the importance of striking a balance between innovation and regulation. With the introduction of synthetic data and responsible AI guidelines, SAP aims to overcome biases and promote transparency in the development and adoption of AI technology.
[Note: The content above is generated using AI. It is advised to review and proofread the article manually before publishing.]
