How Companies Can Create Responsible and Transparent AI – Thought Leaders

Sundar Pichai, CEO of Google parent company Alphabet, has described developments in AI as "more profound than fire or electricity," and COVID-19 has brought fresh urgency in unleashing this technology's promise. Applications of AI are now firmly in the spotlight, improving COVID treatments, tracing potential COVID carriers, and deploying real-time chatbots for supply-stricken users of retail websites. These applications have shown that AI improves a business's resilience and benefits broader society. So along with "cloud-native," the buzzword of the last quarter might just be "AI-first transformation," a term that industry practitioners believe will hold true even after COVID goes away. For many firms, the promise of lower costs (i.e., supply chain algorithms that match supply with demand) and admirable boosts in productivity (i.e., when banks use document and identity verification in real time) is just too good to ignore. In AI-first transformation, an enterprise uses AI as a North Star, working to use it not only intelligently but also in a way that influences decisions made by people, processes, and systems at scale.