WEBVTT 00:00:01.042 --> 00:00:03.101 In almost all aspects of our lives 00:00:03.125 --> 00:00:07.333 we have perfect information available instantaneously. 00:00:08.042 --> 00:00:11.309 My phone can tell me everything about my finances, 00:00:11.333 --> 00:00:13.559 where precisely I am on a map 00:00:13.583 --> 00:00:15.726 and the best way to my next destination, 00:00:15.750 --> 00:00:18.309 all with a click of a button. 00:00:18.333 --> 00:00:21.434 But this availability of information and transparency 00:00:21.458 --> 00:00:25.083 almost completely disappears when it comes to consumer products. NOTE Paragraph 00:00:26.208 --> 00:00:29.518 If you go to the seafood counter at your local supermarket, 00:00:29.542 --> 00:00:33.351 you can probably choose between several different types of fish. 00:00:33.375 --> 00:00:35.934 But chances are, they won't be able to tell you 00:00:35.958 --> 00:00:39.101 who caught the fish, where precisely it was caught, 00:00:39.125 --> 00:00:41.393 whether it is sustainable to catch it there 00:00:41.417 --> 00:00:43.458 and how it got transported. 00:00:44.083 --> 00:00:46.976 And that holds true for almost everything we buy. 00:00:47.000 --> 00:00:48.768 Every can of soup, 00:00:48.792 --> 00:00:51.309 every piece of meat, every T-shirt. NOTE Paragraph 00:00:51.333 --> 00:00:53.601 We as humans, right now, 00:00:53.625 --> 00:00:57.143 are destroying the only thing we really need to survive: 00:00:57.167 --> 00:00:58.434 our planet. 00:00:58.458 --> 00:01:01.476 And most of the horrible problems that we're facing today, 00:01:01.500 --> 00:01:02.768 like climate change 00:01:02.792 --> 00:01:05.476 and modern slavery in supply chains, 00:01:05.500 --> 00:01:07.226 come down to decisions. 00:01:07.250 --> 00:01:12.934 Human decisions to produce something one way and not another. 00:01:12.958 --> 00:01:15.184 And that's how we, as consumers, 00:01:15.208 --> 00:01:18.184 end up making decisions that harm the planet 00:01:18.208 --> 00:01:19.851 or our fellow humans. 00:01:19.875 --> 00:01:21.958 By choosing the wrong products. 00:01:23.167 --> 00:01:26.518 But I refuse to believe that anybody here in this room, 00:01:26.542 --> 00:01:28.601 or frankly, anybody on this planet, 00:01:28.625 --> 00:01:30.518 really wants to buy a product 00:01:30.542 --> 00:01:33.976 that harms the planet or our fellow humans 00:01:34.000 --> 00:01:35.333 if given the choice. NOTE Paragraph 00:01:36.583 --> 00:01:38.768 But you see, choice is a loaded word. 00:01:38.792 --> 00:01:41.143 Choice means there's another option. 00:01:41.167 --> 00:01:44.184 Choice means you can afford that option. 00:01:44.208 --> 00:01:45.684 But choice also means 00:01:45.708 --> 00:01:49.768 you have enough information to make an informed decision. 00:01:49.792 --> 00:01:54.851 And that information nowadays simply just doesn't exist. 00:01:54.875 --> 00:01:58.125 Or at least it's really, really hard to access. 00:01:59.625 --> 00:02:01.643 But I think this is about to change. 00:02:01.667 --> 00:02:05.726 Because we can use technology to solve this information problem. 00:02:05.750 --> 00:02:08.809 And many of the specific technologies that we need to do that 00:02:08.833 --> 00:02:12.518 have become better and cheaper over the recent years, 00:02:12.542 --> 00:02:15.434 and are now ready to be used at scale. NOTE Paragraph 00:02:15.458 --> 00:02:16.851 So, over the past two years, 00:02:16.875 --> 00:02:18.559 my team and I have been working 00:02:18.583 --> 00:02:22.809 with one of the world's largest conservation organizations, WWF, 00:02:22.833 --> 00:02:26.476 and we've founded a company called OpenSC, 00:02:26.500 --> 00:02:28.833 where SC stands for supply chain. 00:02:29.708 --> 00:02:32.101 And we believe that by using technology 00:02:32.125 --> 00:02:35.476 we can help to create 00:02:35.500 --> 00:02:38.809 transparency and traceability in supply chains, 00:02:38.833 --> 00:02:42.351 and through that, help to completely revolutionize 00:02:42.375 --> 00:02:46.958 the way that we buy and also produce products as humans. 00:02:48.333 --> 00:02:52.184 Now, some of this is going to sound a little bit like science fiction, 00:02:52.208 --> 00:02:54.059 but it's already happening. 00:02:54.083 --> 00:02:55.333 Let me explain. NOTE Paragraph 00:02:56.208 --> 00:02:58.809 So, in order to solve this information problem, 00:02:58.833 --> 00:03:00.518 we need to do three things: 00:03:00.542 --> 00:03:03.809 verify, trace and share. 00:03:03.833 --> 00:03:07.309 Verify specific sustainability 00:03:07.333 --> 00:03:09.143 and ethical production claims 00:03:09.167 --> 00:03:12.018 in a data-based and automated way. 00:03:12.042 --> 00:03:14.893 Then trace those individual physical products 00:03:14.917 --> 00:03:16.601 throughout their supply chains, 00:03:16.625 --> 00:03:19.643 and finally, share that information with consumers 00:03:19.667 --> 00:03:22.101 in a way that truly gives them a choice 00:03:22.125 --> 00:03:24.101 and lets them make consumption decisions 00:03:24.125 --> 00:03:26.934 that are more aligned with their values. 00:03:26.958 --> 00:03:30.268 I'm going to use a real product 00:03:30.292 --> 00:03:34.726 and a supply chain where we've made all of this a reality already: 00:03:34.750 --> 00:03:36.018 a Patagonian toothfish, 00:03:36.042 --> 00:03:39.059 or Chilean sea bass, as it's called in the US. NOTE Paragraph 00:03:39.083 --> 00:03:40.833 Number one, verify. 00:03:41.792 --> 00:03:44.351 Verify how something is produced. 00:03:44.375 --> 00:03:47.184 But not just by saying, "Trust me, this is good, 00:03:47.208 --> 00:03:49.393 trust me, we've done all the right things," 00:03:49.417 --> 00:03:53.434 but by producing evidence for that individual physical product, 00:03:53.458 --> 00:03:55.726 and the way it was produced. 00:03:55.750 --> 00:03:57.018 By producing evidence 00:03:57.042 --> 00:04:00.809 for a specific sustainability or ethical production claim. 00:04:00.833 --> 00:04:03.684 So for example, in the case of the fish, 00:04:03.708 --> 00:04:07.601 has this fish been caught in an area where there's enough of them, 00:04:07.625 --> 00:04:09.643 so that it's sustainable to catch it there 00:04:09.667 --> 00:04:12.351 and not in a marine protected area? 00:04:12.375 --> 00:04:13.726 So what we're doing here 00:04:13.750 --> 00:04:17.643 is we're taking almost real-time GPS data from the ship -- 00:04:17.667 --> 00:04:19.184 the ship that's fishing -- 00:04:19.208 --> 00:04:21.434 and that tells us where the ship is 00:04:21.458 --> 00:04:24.018 and where it's going at what speed. 00:04:24.042 --> 00:04:27.184 And we can then combine that with other types of data, 00:04:27.208 --> 00:04:29.976 like, for example, how deep the sea floor is. 00:04:30.000 --> 00:04:32.643 And combining all of this information, 00:04:32.667 --> 00:04:36.809 our machine-learning algorithms can then verify, in an automated way, 00:04:36.833 --> 00:04:40.625 whether the ship is only fishing where it's supposed to, or not. NOTE Paragraph 00:04:41.875 --> 00:04:44.434 And as sensors become cheaper, 00:04:44.458 --> 00:04:46.476 we can put them in more places. 00:04:46.500 --> 00:04:48.851 And that means we can capture more data, 00:04:48.875 --> 00:04:51.684 and combining that with advancements in data science, 00:04:51.708 --> 00:04:54.976 it means that we can now verify 00:04:55.000 --> 00:04:59.018 specific sustainability and ethical production claims 00:04:59.042 --> 00:05:03.226 in an automated, real-time and ongoing manner. 00:05:03.250 --> 00:05:07.393 And that really lays the basis for this information revolution. NOTE Paragraph 00:05:07.417 --> 00:05:09.601 So, number two, trace. 00:05:09.625 --> 00:05:12.684 Trace those individual physical products, 00:05:12.708 --> 00:05:14.726 so that we can truly say 00:05:14.750 --> 00:05:17.476 that the claim that we've verified about a certain product 00:05:17.500 --> 00:05:20.476 actually belongs to that individual product 00:05:20.500 --> 00:05:23.018 that we as consumers have right in front of us. 00:05:23.042 --> 00:05:26.351 Because without that level of traceability, 00:05:26.375 --> 00:05:29.226 all that we've really verified in the first place 00:05:29.250 --> 00:05:32.101 is that somebody, somewhere, at some point 00:05:32.125 --> 00:05:34.434 caught a fish in a sustainable way, 00:05:34.458 --> 00:05:39.351 or didn't harm the employee when asking them to produce a T-shirt, 00:05:39.375 --> 00:05:44.208 or didn't use pesticides when growing a vegetable that didn't actually need it. 00:05:45.292 --> 00:05:49.226 Only if I give a product an identity from the start 00:05:49.250 --> 00:05:52.018 and then trace it throughout the whole supply chain, 00:05:52.042 --> 00:05:55.643 can this claim and the value that's been created 00:05:55.667 --> 00:05:57.976 by producing it in the right way 00:05:58.000 --> 00:05:59.583 truly stay with it. NOTE Paragraph 00:06:01.542 --> 00:06:04.143 Now, I've talked about cheaper sensors. 00:06:04.167 --> 00:06:06.643 There are many other technological developments 00:06:06.667 --> 00:06:10.893 that make all of this much more possible today than every before. 00:06:10.917 --> 00:06:13.875 For example, the falling costs of tags. 00:06:14.792 --> 00:06:17.851 You give a product a name, 00:06:17.875 --> 00:06:19.893 a serial number, an identity, 00:06:19.917 --> 00:06:22.101 the tag is its passport. NOTE Paragraph 00:06:22.125 --> 00:06:25.434 What you can see here is a toothfish being caught. 00:06:25.458 --> 00:06:27.768 This is what's called a longline fishery, 00:06:27.792 --> 00:06:32.018 so the fish are coming up onto the boat on individual hooks. 00:06:32.042 --> 00:06:34.309 And as soon as the fish is on board, 00:06:34.333 --> 00:06:36.601 it is killed, and then after that, 00:06:36.625 --> 00:06:40.059 we insert a small tag into the fish's flesh. 00:06:40.083 --> 00:06:44.601 And in that tag, there is an RFID chip with a unique serial number, 00:06:44.625 --> 00:06:47.643 and that tag follows the fish throughout the whole supply chain 00:06:47.667 --> 00:06:49.851 and makes it really easy to sense its presence 00:06:49.875 --> 00:06:53.393 at any port, on any truck or in any processing plant. 00:06:53.417 --> 00:06:56.684 But consumers can't really read RFID tags. 00:06:56.708 --> 00:07:00.934 And so, when it comes to filleting and packaging the fish, 00:07:00.958 --> 00:07:03.851 we read the RFID tag and then remove it. 00:07:03.875 --> 00:07:08.101 And then we add a unique QR code to the packaging of the fish. 00:07:08.125 --> 00:07:12.601 And that QR code then points back to the same information 00:07:12.625 --> 00:07:15.375 that we've verified about the fish in the first place. NOTE Paragraph 00:07:17.083 --> 00:07:20.934 And so, depending on the type of product that we're working with, 00:07:20.958 --> 00:07:24.726 we may use QR codes, bar codes, RFID tags 00:07:24.750 --> 00:07:26.518 or other tag technologies. 00:07:26.542 --> 00:07:28.643 But there are also technologies 00:07:28.667 --> 00:07:31.059 that are at the brink of large-scale breakthrough 00:07:31.083 --> 00:07:33.059 that make tags themselves obsolete. 00:07:33.083 --> 00:07:34.684 Like, for example, 00:07:34.708 --> 00:07:37.434 analyzing a product for trace elements 00:07:37.458 --> 00:07:40.976 that can then tell you quite accurately where it is actually from. 00:07:41.000 --> 00:07:42.393 Then there's blockchain. 00:07:42.417 --> 00:07:47.226 A decentralized technology can act as a catalyst for this revolution. 00:07:47.250 --> 00:07:51.018 Because it can help mitigate some of the trust issues 00:07:51.042 --> 00:07:54.518 that are inherent to giving people information 00:07:54.542 --> 00:07:57.726 and then asking them to change their consumption behavior 00:07:57.750 --> 00:08:00.101 because of that information. 00:08:00.125 --> 00:08:02.809 And so, we use blockchain technology 00:08:02.833 --> 00:08:06.059 where it adds value to what we're doing. 00:08:06.083 --> 00:08:07.351 But importantly, 00:08:07.375 --> 00:08:10.518 we don't let the limitations that this technology still has today, 00:08:10.542 --> 00:08:12.601 like, for example, with regards to scaling, 00:08:12.625 --> 00:08:14.601 we don't let that stand in our way. NOTE Paragraph 00:08:14.625 --> 00:08:17.101 And that brings us to the third point. 00:08:17.125 --> 00:08:18.393 Share. 00:08:18.417 --> 00:08:22.268 How to share the information that we've verified and tracked 00:08:22.292 --> 00:08:25.101 about where a product is from, how it was produced 00:08:25.125 --> 00:08:27.601 and how it got to where it is? 00:08:27.625 --> 00:08:29.559 How to share this information 00:08:29.583 --> 00:08:32.434 is really different from product to product. 00:08:32.458 --> 00:08:34.768 And different from where you buy it. 00:08:34.792 --> 00:08:37.351 You behave differently in those situations. 00:08:37.375 --> 00:08:41.018 You are stressed and time-poor in the supermarket. 00:08:41.042 --> 00:08:43.309 Or with short attention span over dinner, 00:08:43.333 --> 00:08:45.518 because your date is so cute. 00:08:45.542 --> 00:08:48.559 Or you are critical and inquisitive 00:08:48.583 --> 00:08:51.750 when researching for a larger purchase online. 00:08:52.750 --> 00:08:54.351 And so for our fish, 00:08:54.375 --> 00:08:57.309 we've developed a digital experience 00:08:57.333 --> 00:09:03.101 that works when buying the fish in a freezer in a fish specialty store 00:09:03.125 --> 00:09:06.934 and that gives you all of the information about the fish and its journey. 00:09:06.958 --> 00:09:09.601 But we also worked with a restaurant 00:09:09.625 --> 00:09:12.601 and developed a different digital experience 00:09:12.625 --> 00:09:16.184 that only summarizes the key facts about the fish and its journey, 00:09:16.208 --> 00:09:18.643 and works better in a dinner setting 00:09:18.667 --> 00:09:22.226 and, hopefully, there doesn't annoy your date too much. NOTE Paragraph 00:09:22.250 --> 00:09:24.601 Now, that brings us full circle. 00:09:24.625 --> 00:09:27.643 We've verified that the fish was caught 00:09:27.667 --> 00:09:30.643 in an area where it's sustainable to do so. 00:09:30.667 --> 00:09:33.268 We've then traced it throughout the entire supply chain 00:09:33.292 --> 00:09:37.393 to maintain its identity and all the information that's attached to it. 00:09:37.417 --> 00:09:39.976 And then, we've shared that information with consumers 00:09:40.000 --> 00:09:41.809 in a way that gives them a choice 00:09:41.833 --> 00:09:43.976 and lets them make consumption decisions 00:09:44.000 --> 00:09:46.542 that are more in line with their values. NOTE Paragraph 00:09:47.542 --> 00:09:51.643 Now, for this fish example, this is already rolled out at scale. 00:09:51.667 --> 00:09:52.934 This season, 00:09:52.958 --> 00:09:56.518 the entire fleet of the world's largest toothfish fishing company, 00:09:56.542 --> 00:09:57.893 Austral Fisheries, 00:09:57.917 --> 00:10:00.768 is tagging every single fish that they catch 00:10:00.792 --> 00:10:04.125 and that ends up in their premium branded "Glacier 51" product. 00:10:05.208 --> 00:10:07.351 And you can already buy this fish. 00:10:07.375 --> 00:10:11.268 And with it, you can have all of the information I talked about today, 00:10:11.292 --> 00:10:12.768 and much more, 00:10:12.792 --> 00:10:17.042 attached to each individual fish or portion of the fish that you may buy. NOTE Paragraph 00:10:18.583 --> 00:10:22.643 But this is not a fish or seafood thing. 00:10:22.667 --> 00:10:25.851 We're working on many, many different commodities and products 00:10:25.875 --> 00:10:28.268 and their supply chains across the globe. 00:10:28.292 --> 00:10:30.893 From dairy to fruit and vegetables, 00:10:30.917 --> 00:10:33.684 to nonfood products made out of wood. 00:10:33.708 --> 00:10:38.226 As a consumer, all of this may sound like a huge burden, 00:10:38.250 --> 00:10:41.768 because you don't have time to look at all of this information 00:10:41.792 --> 00:10:44.268 every time you buy something. 00:10:44.292 --> 00:10:46.018 And I don't expect you to, 00:10:46.042 --> 00:10:49.143 because you'll have help with that. NOTE Paragraph 00:10:49.167 --> 00:10:54.518 In the future, we'll leave the decision of which specific product to buy 00:10:54.542 --> 00:10:56.726 increasingly up to machines. 00:10:56.750 --> 00:10:58.976 An algorithm will know enough about you 00:10:59.000 --> 00:11:03.476 to make those decisions for you, so you don't have to. 00:11:03.500 --> 00:11:06.351 And maybe it will even do a better job at it. 00:11:06.375 --> 00:11:08.809 In a recent study, 85 percent of those 00:11:08.833 --> 00:11:11.851 buying a product through a virtual assistant 00:11:11.875 --> 00:11:13.684 said that they, on occasion, 00:11:13.708 --> 00:11:16.059 actually went with the top product recommendation 00:11:16.083 --> 00:11:17.351 of that virtual assistant, 00:11:17.375 --> 00:11:19.434 rather than the specific product or brand 00:11:19.458 --> 00:11:22.184 that they set out to buy in the first place. 00:11:22.208 --> 00:11:24.018 You just say you need toilet paper, 00:11:24.042 --> 00:11:28.476 it's then an algorithm that decides which brand, price point 00:11:28.500 --> 00:11:31.559 or whether you go with recycled or not. 00:11:31.583 --> 00:11:35.809 Well, nowadays this is usually based on what you bought in the past, 00:11:35.833 --> 00:11:40.018 or whoever pays the most to the company behind the virtual assistant. 00:11:40.042 --> 00:11:44.458 But why shouldn't that be also based on your values? NOTE Paragraph 00:11:45.625 --> 00:11:48.184 Knowing that you want to buy planet-friendly 00:11:48.208 --> 00:11:53.684 and knowing whether and how much you're willing and able to pay for that. 00:11:53.708 --> 00:11:57.226 Now, that will make it easy and seamless, 00:11:57.250 --> 00:11:59.518 but still based on granular effects and data 00:11:59.542 --> 00:12:01.601 to choose the right products. 00:12:01.625 --> 00:12:03.851 Not by necessarily doing it yourself 00:12:03.875 --> 00:12:06.184 but by asking an algorithm 00:12:06.208 --> 00:12:09.768 that knows how much you care about this planet. 00:12:09.792 --> 00:12:11.768 Not by necessarily doing it yourself 00:12:11.792 --> 00:12:13.893 but by asking an algorithm 00:12:13.917 --> 00:12:16.708 that is never time-poor or distracted, 00:12:17.792 --> 00:12:21.601 or with short attention span because of the cute date, 00:12:21.625 --> 00:12:24.351 and that knows how much you care about this planet 00:12:24.375 --> 00:12:25.809 and the people living on it, 00:12:25.833 --> 00:12:29.684 by asking that algorithm to look at all of that information for you 00:12:29.708 --> 00:12:31.208 and to decide for you. NOTE Paragraph 00:12:32.500 --> 00:12:36.684 If we have reliable and trustworthy information like that 00:12:36.708 --> 00:12:39.184 and the right systems that make use of it, 00:12:39.208 --> 00:12:42.559 consumers will support those who are doing the right thing 00:12:42.583 --> 00:12:46.684 by producing products in a sustainable and ethical way. 00:12:46.708 --> 00:12:48.726 They will support them every time 00:12:48.750 --> 00:12:51.083 by choosing their goods over others. 00:12:52.042 --> 00:12:56.976 And that means that goods, producers and processors and retailers 00:12:57.000 --> 00:12:58.268 will get rewarded. 00:12:58.292 --> 00:13:02.643 And bad actors will be forced to adjust their practices 00:13:02.667 --> 00:13:04.542 or get out of business. 00:13:05.333 --> 00:13:06.976 And we need that. 00:13:07.000 --> 00:13:10.768 If we want to continue to live together on this beautiful planet, 00:13:10.792 --> 00:13:12.643 we really need it. NOTE Paragraph 00:13:12.667 --> 00:13:13.934 Thank you. NOTE Paragraph 00:13:13.958 --> 00:13:16.458 (Applause)