Synthetic data for responsible innovation

We often hear about responsible innovation, but what does that actually mean in practice? On a broad level, it means three things when you innovate: you want to respect the rule of law, do no harm, and you want it to do good. When we talk about innovating with powerful AI technologies, these concepts are often related to data privacy, and protection, ethics and bias, as well as the digital divide in making use of these technologies. We all know that economies and societies can benefits massively from AI when used responsibly. However, balancing the act of working responsibly while harnessing tech requires new ways of thinking and working. One of such emerging paradigm shifts is driven by Synthetic Data. In this talk Shalini will introduce how synthetic data is already changing the way companies are thinking about responsible innovation with a focus on privacy preservation, data quality and ethics, eliminating data scarcity and cutting costs in utilizing AI.