Artificial intelligence (AI) and privacy: 3 key security practices
If you are involved in next-generation digital product engineering, experimenting with artificial intelligence (AI) will help you imagine new business models, revenue streams, and experiences.
But you should be wary of wild headlines about cutting-edge AI breakthroughs. For every AlphaFold that solves a 50-year-old problem about protein folding, there are dozens of less glitzy but perhaps more impactful business AI advances that are helping to make it more responsible and privacy-conscious.
As algorithms imbibe increasingly huge data sets both in training and deployment, data privacy as it relates to AI/machine learning (ML) will only grow in importance, especially with new regulations expanding upon GDPR, CCPA, HIPAA, etc. In fact, the FDA recently issued a new action plan for regulating AI in medical devices. Expanding regulatory frameworks are partially why data privacy is one of the most important issue of this decade.