1320 ET - Anthony Moisant, chief information and security officer at Indeed, says humans still need to be in the loop when it comes to AI. Companies need to have people as part of the process when making consequential decisions around AI systems, because if left unchecked, those decisions can create unintended downstream effects, Moisant said at the WSJ Technology Council Summit. In Indeed's case, an example of an unintended downstream effect would be a decision that inadvertently closes a door for a job seeker: "Preventing somebody from getting a job because we made a bad experimentation decision would be pretty horrendous," Moisant says. The key to avoiding such a case, he continues, is education. "We've got to have the guard-rails in place. We've got to have that rigor around cost transparency, around security, around privacy, around education."