The speed at which artificial intelligence (AI) technologies have improved in competency and moved from the lab into mainstream applications has surprised even the most seasoned AI experts. Despite the progress, the practice of AI is still new and hard to do. This creates an interesting dynamic: AI practitioners are learning new AI skills as they're building AI applications. There are many opportunities to learn and improve. Microsoft's AI principles call out the aspirations of designing our systems in accordance with goals of fairness, reliability and safety, privacy and security, inclusiveness, transparency and accountability.

Artificial intelligence (AI) continues to transform businesses and society, putting pressure on companies in nearly every industry to invest in the rapidly-evolving space. As AI exerts an ever-increasing effect on our lives, the need for responsible AI grows. Responsible AI may already be a widely-discussed topic, but how many companies are actually putting its principles into practice? In part one of our five part series on 2021 predictions, we focus on the future of responsible AI. Responsible AI can mean many things; it can mean reducing model bias, enhancing data privacy, fair pay for members of the AI supply chain, and more.