Avoiding AI Gone Wrong: The Challenges Of Testing AI Applications · Forrester

AI is finding its way into software of all kinds, from the voice assistants in your home to the algorithms in life-saving healthcare applications. But the broader AI use becomes, the higher the risk of "AI gone wrong" -- unintended decisions made by an algorithm. In this episode of What It Means, Vice President and Principal Analyst Diego Lo Giudice discusses the expansion of AI and the increased need for checks and balances. But testing AI is not as simple as testing traditional software. As Lo Giudice puts it, how do you test something when you don't know the desired or anticipated outcome?