Combination of blockchain and AI makes models more transparent

The rapid emergence and use of AI in mission- and business-critical situations is leading management teams to consider issues of trust. This is especially true when machine learning systems are used to make decisions that have particularly serious ramifications. For example, the issue arises with autonomous vehicles that need to make split-second decisions, with AI-based systems that make loan or insurance claim decisions, and with tools used to sentence convicts or determine bail amounts. In each of these situations and others, humans are trusting machines to make decisions that can have significant and potentially harmful outcomes. But while their decision-making processes are opaque today, there is hope that the combination of blockchain and AI could make learning systems more interpretable.