Building AI responsibly from research to practice

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.