1 00:00:00,000 --> 00:00:03,080 Speaker 1: Foodstuff's facial recognition trial that's worked out well. They tell us. 2 00:00:03,160 --> 00:00:05,320 Speaker 1: Of the twenty five North Island stores that took part, 3 00:00:05,640 --> 00:00:08,880 Speaker 1: harm was reduced by sixteen percent. Thought the technology played 4 00:00:08,880 --> 00:00:11,440 Speaker 1: a part in preventing more than one hundred serious install incidents, 5 00:00:11,480 --> 00:00:15,520 Speaker 1: and we're talking things like assault. The evaluator from Skelatia Analytics, 6 00:00:15,680 --> 00:00:18,680 Speaker 1: the firm director is Adam Barker, who's with us. Adam 7 00:00:18,720 --> 00:00:19,239 Speaker 1: morning to you. 8 00:00:20,239 --> 00:00:20,880 Speaker 2: Good morning, Mike. 9 00:00:21,000 --> 00:00:23,560 Speaker 1: What your thought versus what you got? Was it the 10 00:00:23,600 --> 00:00:25,720 Speaker 1: same thing? Yeah? 11 00:00:25,760 --> 00:00:30,200 Speaker 2: It was pretty close. We anticipated about well, we were 12 00:00:30,200 --> 00:00:32,080 Speaker 2: hope you were at least a twenty percent production and 13 00:00:32,120 --> 00:00:34,800 Speaker 2: harm and what we have ended up with as a 14 00:00:34,840 --> 00:00:36,479 Speaker 2: sixteen percent production and harm. 15 00:00:37,159 --> 00:00:39,000 Speaker 1: And so where do you go from here? I mean, 16 00:00:39,000 --> 00:00:41,479 Speaker 1: if everyone agrees at work so more please? Is that 17 00:00:41,520 --> 00:00:42,479 Speaker 1: how it works? 18 00:00:43,840 --> 00:00:46,879 Speaker 2: Well? From here? Our report has gone to food Stuff's 19 00:00:46,880 --> 00:00:48,640 Speaker 2: and then Food Stuffs and Turn has passed it on 20 00:00:48,680 --> 00:00:51,800 Speaker 2: to the Office of the Privacy Commissioner. It's currently in 21 00:00:51,840 --> 00:00:54,840 Speaker 2: the hands of the Privacy Commissioner now to make some 22 00:00:54,880 --> 00:00:56,960 Speaker 2: decisions around where they would like to try and see 23 00:00:57,280 --> 00:00:58,600 Speaker 2: facial recognition go next. 24 00:00:58,760 --> 00:01:00,160 Speaker 1: Is there a problem with it? I mean, how many 25 00:01:00,200 --> 00:01:04,640 Speaker 1: people actually mined about having their face photographed, sword, et cetera. 26 00:01:06,560 --> 00:01:10,480 Speaker 2: Not many, but I don't think that's There is clearly 27 00:01:10,840 --> 00:01:13,400 Speaker 2: a balance that does need to be struck between privacy 28 00:01:13,400 --> 00:01:16,760 Speaker 2: impacts and the harm reduction that occurs. And one of 29 00:01:16,840 --> 00:01:18,360 Speaker 2: the important things that we tried to do in our 30 00:01:18,400 --> 00:01:22,880 Speaker 2: work was to assess the balance between those different impacts 31 00:01:22,920 --> 00:01:25,840 Speaker 2: and to understand what the public thought. And what we 32 00:01:25,920 --> 00:01:29,760 Speaker 2: found in that work was that the sixteen percent reduction 33 00:01:29,920 --> 00:01:33,800 Speaker 2: is more than enough to justify the privacy impacts in 34 00:01:33,840 --> 00:01:35,400 Speaker 2: the view of most of the public. 35 00:01:35,680 --> 00:01:36,560 Speaker 1: Is the way of the future. 36 00:01:38,600 --> 00:01:41,360 Speaker 2: Well, I guess I certainly feel like it should be 37 00:01:41,400 --> 00:01:42,960 Speaker 2: part of the mix of things that had done in 38 00:01:42,959 --> 00:01:43,480 Speaker 2: the future. 39 00:01:43,680 --> 00:01:45,720 Speaker 1: Good stuff, you go, well, Adam, appreciate it very much. 40 00:01:45,720 --> 00:01:50,120 Speaker 1: Adam Barker, Sclety, Director Trial Evaluator. If it works, it works. 41 00:01:50,240 --> 00:01:52,440 Speaker 1: Can't argue with that, can you? For more from the 42 00:01:52,480 --> 00:01:55,560 Speaker 1: Mic Asking Breakfast, listen live to news talks that'd be 43 00:01:55,640 --> 00:01:59,360 Speaker 1: from six am weekdays, or follow the podcast on iHeartRadio.