HumAIn Podcast

[Audio] Podcast: Play in new window | DownloadSubscribe: Google Podcasts | Spotify | Stitcher | TuneIn | RSSMark Sears is the Founder and CEO at CloudFactory, a global leader in combining people and technology to provide a cloud workforce solution for data labeling. Their managed teams have experience with 150+ AI projects and can process data for machine learning and core business functions with high accuracy using virtually any tool, even customer-built tools. As an impact sourcing service provider (ISSP), CloudFactory creates economic and leadership opportunities for talented people in developing nations. Trusted by 140+ companies, They annotate data for 11 of the world's top autonomous vehicle companies and process millions of tasks a day for innovators including Microsoft, Drive.ai, Ibotta, and nuTonomy. They’re on four continents, with offices in the U.K., U.S., Nepal, and Kenya. His innovation drives the vision of connecting 1 million people in the developing world to online work. More than just connecting people to work CloudFactory works to develop leaders worth following men and women of high character and high competency who serve their communities. Episode Links:  Mark Sears’ LinkedIn: https://www.linkedin.com/in/msears/ Mark Sears’ Twitter:  https://twitter.com/marktsears?s=20 Mark Sears’ Website: https://www.cloudfactory.com/ Podcast Details: Podcast website: https://www.humainpodcast.comApple Podcasts:  https://podcasts.apple.com/us/podcast/humain-podcast-artificial-intelligence-data-science/id1452117009Spotify:  https://open.spotify.com/show/6tXysq5TzHXvttWtJhmRpSRSS: https://feeds.redcircle.com/99113f24-2bd1-4332-8cd0-32e0556c8bc9YouTube Full Episodes: https://www.youtube.com/channel/UCxvclFvpPvFM9_RxcNg1ragYouTube Clips:  https://www.youtube.com/channel/UCxvclFvpPvFM9_RxcNg1rag/videosSupport and Social Media:  – Check out the sponsors above, it’s the best way to support this podcast– Support on Patreon: https://www.patreon.com/humain/creators  – Twitter:  https://twitter.com/dyakobovitch– Instagram: https://www.instagram.com/humainpodcast/– LinkedIn: https://www.linkedin.com/in/davidyakobovitch/– Facebook: https://www.facebook.com/HumainPodcast/– HumAIn Website Articles: https://www.humainpodcast.com/blog/Outline: Here’s the timestamps for the episode: (00:00) – Introduction(02:29) – Some good  talent is not well-connected in the global economy. CloudFactory built a technology platform to coordinate these really talented young people to connect them to the global economy(05:22) – Becoming really efficient and effective with training(05:47) – Hybrid workforce. Some of our workforces are working distributed. Some of them are working in one of our managed offices(06:52) – The Pomodoro technique for productivity(09:29) – CloudFactory exists to connect a million people to online work and we exist believing that talent is equally distributed around the world, but opportunity is not. So it starts and it ends with making sure that we are trying to create good opportunities(12:04) – It's that human in the loop that has both sides of training and augmenting that you see a huge amount of need for scalable people, people who can really do high quality work within a very tech forward friendly way.(13:39) –  Advantages related to data which is being touched by humans in the loop. When you do that at scale, because you're a tech company, you need access to a large, scalable high quality workforce(18:31) – Tool agnosticism: Customers want to own the data work tools(25:45) – Setting people up for success and selecting the right profiles and personas of people that can really get over the hump and join the digital economy(27:15) – Kathmandu and Nairobi have fully digital and English proficient talent and they are hungry and looking for opportunities to really grow and also to connect (30:05) – From the smaller startups to the biggest companies in the world, everyone's recognizing that the world is more connected than ever, and talent is all over(31:47) – Trying to train up your AI and fill the gaps of your AI and technology with inserting humans in the loop(34:22) – CloudFactory is a custom partner and is working on many different applications and ideas(36:12) – It’s becoming very effective and also more enjoyable for people to have the flexibility of being able to work from anywhere(38:26) – There's no question that the future of work is human and machine intelligence finding the right mix of bothAdvertising Inquiries: https://redcircle.com/brandsPrivacy & Opt-Out: https://redcircle.com/privacy

[Audio] Podcast: Play in new window | DownloadSubscribe: Google Podcasts | Spotify | Stitcher | TuneIn | RSSDan O'Connell is the chief strategy officer for Dialpad, and also is a member of the board. He previously was also the CEO of a real-time speech analytics and natural language processing startup TalkIQ, which Dialpad acquired about a year ago. He has held leadership positions at Google and AdRollEpisode Links:  Dan O’Connell’s LinkedIn: https://www.linkedin.com/in/droconnell/ Dan O’Connell’s Twitter:  @DialpadHQDan O’Connell’s Website: https://www.dialpad.com/ Podcast Details: Podcast website: https://www.humainpodcast.comApple Podcasts:  https://podcasts.apple.com/us/podcast/humain-podcast-artificial-intelligence-data-science/id1452117009Spotify:  https://open.spotify.com/show/6tXysq5TzHXvttWtJhmRpSRSS: https://feeds.redcircle.com/99113f24-2bd1-4332-8cd0-32e0556c8bc9YouTube Full Episodes: https://www.youtube.com/channel/UCxvclFvpPvFM9_RxcNg1ragYouTube Clips:  https://www.youtube.com/channel/UCxvclFvpPvFM9_RxcNg1rag/videosSupport and Social Media:  – Check out the sponsors above, it’s the best way to support this podcast– Support on Patreon: https://www.patreon.com/humain/creators  – Twitter:  https://twitter.com/dyakobovitch– Instagram: https://www.instagram.com/humainpodcast/– LinkedIn: https://www.linkedin.com/in/davidyakobovitch/– Facebook: https://www.facebook.com/HumainPodcast/– HumAIn Website Articles: https://www.humainpodcast.com/blog/Outline: Here’s the timestamps for the episode: (00:00) – Introduction(02:22) –TalkIQ where we're building a real speech recognition engine(03:25) – Dialpad sell is designed specifically for sales organizations(05:01) – Political Marketing: Now you can use these technologies to actually quantify voters’ data(06:02) – Speech recognition and natural language processing now help you understand what's happening in those conversations and really unique ways that are going to allow you to drive better decision-making(06:58) – Google, Amazon, Microsoft, Apple,  about voice, they're really focused on consumer devices(10:31) – There's definitely a trend to more businesses being more open to having remote employees or just teams really spread throughout the world. These technologies are allowing that to actually happen(10:56) – There are definitely opportunities to build remote teams. It presents a really difficult challenges around culture and connectedness as well transforming industries(15:16) – We don't have the winning VR app yet(17:15) –  5G is going to be the game changer that we all hope it to be and expect it to be(22:09) – The beauty of open source software and places like GitHub is that you can go and learn and it doesn't cost you anything(26:56) – The landline is dying, but the telephone is not. They're trying to hold on to some of these services perhaps because of some business pressure(28:50) – People want the freedom of mobility(32:48) – AI speech recognition and LP, use these technologies to augment in-person experiences(35:40) –  if you're running a fully remote team, you really have to focus on over communicatingAdvertising Inquiries: https://redcircle.com/brandsPrivacy & Opt-Out: https://redcircle.com/privacy

[Audio] Podcast: Play in new window | DownloadSubscribe: Google Podcasts | Spotify | Stitcher | TuneIn | RSSJeremy Kaufmann has a wide variety of experiences. He started his career as a statistician and economist at the New York Federal Reserve and became very interested in looking at healthcare outcomes research. So he took his love of data, gained SAS experience at Salesforce, and then took that today to Scale Venture Partners, where he has focused his last three and a half years in the world of AI and machine learning.Episode Links:  Jeremy Kaufmann’s LinkedIn: https://www.linkedin.com/in/jeremy-kaufmann-42171370/ Jeremy Kaufmann’s Twitter: https://twitter.com/jkauf_mann?s=20 Jeremy Kaufmann’s Website: https://scalestudio.vc/ Podcast Details: Podcast website: https://www.humainpodcast.comApple Podcasts:  https://podcasts.apple.com/us/podcast/humain-podcast-artificial-intelligence-data-science/id1452117009Spotify:  https://open.spotify.com/show/6tXysq5TzHXvttWtJhmRpSRSS: https://feeds.redcircle.com/99113f24-2bd1-4332-8cd0-32e0556c8bc9YouTube Full Episodes: https://www.youtube.com/channel/UCxvclFvpPvFM9_RxcNg1ragYouTube Clips:  https://www.youtube.com/channel/UCxvclFvpPvFM9_RxcNg1rag/videosSupport and Social Media:  – Check out the sponsors above, it’s the best way to support this podcast– Support on Patreon: https://www.patreon.com/humain/creators  – Twitter:  https://twitter.com/dyakobovitch– Instagram: https://www.instagram.com/humainpodcast/– LinkedIn: https://www.linkedin.com/in/davidyakobovitch/– Facebook: https://www.facebook.com/HumainPodcast/– HumAIn Website Articles: https://www.humainpodcast.com/blog/Outline: Here’s the timestamps for the episode: (00:00) – Introduction(02:39) – KeepTrucking integrates the mobile phone into the trucker workflow(04:26) – Cognata: a machine to  train the vehicles (05:34) – Investing in the broader world of AI is all about understanding timing risk(07:30) – Cognata corner cases: making a left-hand turn, an attempt to derive pedestrians’ intents, when to slam the breaks(09:23) – Solvvy,  a company in the conversational AI space not only answering questions, but automating actions.  (11:51) – Deflecting questions at the origin to reduce costs to respond to questions, and increase the percentage of times that a given action is taken(15:16) – TechSee, an example of international investment. Self-serve and installation, is going to be the future(18:54) – Look for verticals and industries where the promise is highest: customer pain points and ROI(20:14) – AI is fundamentally a probabilistic technology and not deterministic, meaning it's going to make errors and business buyers aren't necessarily comfortable with buying a product that's going to make errors(21:02) –  Proprietary data advantage and building a sustainable data moat. Talent as a differentiator in some of these companies.(24:14) – The world of AI to date and deep learning is all about massive quantities of data(26:01) – Overcoming Cold Start: Beging with SAS, then go to AI, publicly scraping data, offering deals and price discounts(28:19) – The real world is full of  these human complexities around gathering data. So the ability to simulate it is going to be one of the major trends for 2019 and 2020(31:43) – It's all about the business case and the economics, not only about the AI(36:05) – There are many cool technologies and robots can do different things, but it's really about where are the robots going to be most reasonable and cost-saving and business productivity driving(36:53) – The sales process in selling an AI product is hard because AI is somewhat of a black box. It's not very explainable(38:27) –  AI data moats and data network effects are not always going to drive long-term success of a business(43:59) – Conversational AI: improvements in natural language understanding and the ability to handle multi-step conversations while maintaining stateAdvertising Inquiries: https://redcircle.com/brandsPrivacy & Opt-Out: https://redcircle.com/privacy

[Audio] Podcast: Play in new window | DownloadSubscribe: Google Podcasts | Spotify | Stitcher | TuneIn | RSSEddan Katz has previously served as international affairs director at The Electronic Frontier Foundation, where he worked in advocacy initiatives at an international multi-stakeholder decision-making bodies in cyber crime, data privacy, intellectual property and freedom of expression. He was also the first executive director of the information society project at Yale law school, where he taught cyber law and he founded the Access to Knowledge initiative. Eddan has a JD from UC Berkeley, has a BA in philosophy from Yale and today he's working at the World Economic Forum on artificial intelligence and machine learning.  Episode Links:  Eddan Katz’s LinkedIn: https://www.linkedin.com/in/eddankatz/ Eddan Katz’s Twitter:  https://twitter.com/eddankatz Eddan Katz’s Website: https://www.weforum.org/centre-for-the-fourth-industrial-revolution/ Podcast Details: Podcast website: https://www.humainpodcast.comApple Podcasts:  https://podcasts.apple.com/us/podcast/humain-podcast-artificial-intelligence-data-science/id1452117009Spotify:  https://open.spotify.com/show/6tXysq5TzHXvttWtJhmRpSRSS: https://feeds.redcircle.com/99113f24-2bd1-4332-8cd0-32e0556c8bc9YouTube Full Episodes: https://www.youtube.com/channel/UCxvclFvpPvFM9_RxcNg1ragYouTube Clips:  https://www.youtube.com/channel/UCxvclFvpPvFM9_RxcNg1rag/videosSupport and Social Media:  – Check out the sponsors above, it’s the best way to support this podcast– Support on Patreon: https://www.patreon.com/humain/creators  – Twitter:  https://twitter.com/dyakobovitch– Instagram: https://www.instagram.com/humainpodcast/– LinkedIn: https://www.linkedin.com/in/davidyakobovitch/– Facebook: https://www.facebook.com/HumainPodcast/– HumAIn Website Articles: https://www.humainpodcast.com/blog/Outline: Here’s the timestamps for the episode: (00:00) – Introduction(02:52) –The decentralized nature of our communications makes things connected together in a way that they haven't been before. And that complexity between the physical environment and the digital environment means that more and more of our daily lives are impacted by the structure and rules around how digital context and the digital network environment is governed(03:56) – The international aspects reflect the fact that our communications and our trade and our products and services don't obey the same physical borders as we're used to in other contexts(05:01) – There is a possibility of establishing some privacy norms in the US. US law is oriented towards strong privacy protection in different arenas, data privacy as a whole(07:30) – The Generation AI project is run by the World Economic Forum and the center for the Fourth Industrial Revolution, in partnership with UNICEF in regards to policy development, with developmental education and science and researchers who are working on the latest research in regards to how children can actually benefit from algorithmic and precision education(10:44) – Facial recognition project as a center for the fourth investment solution. Authentication and after the fact crime-fighting. Transparency as to how the processes are being designed and where the data goes(14:34) – People need to understand what AI is and what is different about aggregated data and artificial intelligence, machine learning and deep learning(16:28) – Understand the implications of false positives and other ways in which there are errors in information application before it gets deployed publicly (18:58) – New legislations can create havens where certain types of activity can take place. It’s important to think globally and think about harmonizing norms on a greater level(20:32) – We're developing guidelines for government procurement officials for the ethical and efficient purchasing of AI systems and algorithms(23:55) – Diversity is a key principle that makes up ethical design of AI systems an important point to carry.(25:16) – It's crucial for us to maintain the space where responsibility can still be assigned when it is divorced from human judgment and interaction becomes a unique problem(27:53) – AI in military weaponry, when divorced from the actual intent and the context of conflict, is particularly dangerous. (32:42) – There is an opportunity to move towards new and innovative uses of our emerging technology without having to consume the structures of what's already in place(33:59) – Teaching AI ethics and the responsible use of AI and social and economic considerations, and integrate that into engineering and computer science graduate programs(37:11) – We had the different stages of technology development and the one that we're currently in integrates the physical, the biological, the computational in this way, where the convergence is creating all sorts of exciting opportunities, but also social and economic challengesAdvertising Inquiries: https://redcircle.com/brandsPrivacy & Opt-Out: https://redcircle.com/privacy

[Audio] Podcast: Play in new window | DownloadSubscribe: Google Podcasts | Spotify | Stitcher | TuneIn | RSSNoelleSilver is NPR’s VP of Digital Technology. Her background includes founding the AI Leadership Institute in 2015, an organization that empowers and inspires organizations globally to begin thinking more deeply about AI offering executive workshops for defining AI Strategy, Creating an AI-Ready Culture, and more. She has founded other organizations like VoiceSkills Inc and Lady Coders. She also held program management roles at Microsoft, Red Hat, IBM and worked at Amazon in various roles within their Web Services and Alexa product lines for over 6 years. She describes herself as an evangelist that is passionate about helping women in technology rock their careers without sacrificing happiness, harmony or love. She is also excited about Conversational AI (Alexa), Mindful Leadership, work-life harmony and empowering women in tech to achieve more.Noelle LaCharite’s LinkedIn: https://www.linkedin.com/in/mindfulleadership/Noelle LaCharite’s Twitter: https://twitter.com/unitygirl Noelle LaCharite’s Website: https://about.me/noellelacharite Podcast Details: Podcast website: https://www.humainpodcast.comApple Podcasts:  https://podcasts.apple.com/us/podcast/humain-podcast-artificial-intelligence-data-science/id1452117009Spotify:  https://open.spotify.com/show/6tXysq5TzHXvttWtJhmRpSRSS: https://feeds.redcircle.com/99113f24-2bd1-4332-8cd0-32e0556c8bc9YouTube Full Episodes: https://www.youtube.com/channel/UCxvclFvpPvFM9_RxcNg1ragYouTube Clips:  https://www.youtube.com/channel/UCxvclFvpPvFM9_RxcNg1rag/videosSupport and Social Media:  – Check out the sponsors above, it’s the best way to support this podcast– Support on Patreon: https://www.patreon.com/humain/creators  – Twitter:  https://twitter.com/dyakobovitch– Instagram: https://www.instagram.com/humainpodcast/– LinkedIn: https://www.linkedin.com/in/davidyakobovitch/– Facebook: https://www.facebook.com/HumainPodcast/– HumAIn Website Articles: https://www.humainpodcast.com/blog/Outline: Here’s the timestamps for the episode: (00:00) – Introduction(02:34) – Microsoft has developed a core bot, called Service Bot Framework, a single bot allowing to write once and then have it deployed on Alexa, Cortana and Google within just a few minutes(04:14) – The quick switch from text to voice. Text is a bit more mature from a natural language perspective(07:57) – Humans only need to look at the output of a model and make small verifications regarding meaning and intentions, which used to take a very long time for a human to actually manually translate, and now they're just reviewing, editing, iterating on, as opposed to building that translation from scratch(07:43) – There's a totally different kind of human benefit to language learning than just that transactional thing that AI can assist with today(11:40) – Making voice integration ubiquitous(14:49) – Unified Speech Services, the combination of speech to text, text to speech, speech authorization, and authentication. All these different services were unified into a single model(24:00) – Microsoft's Conversation Learner, cognitive services and applied AI to identify what that speaker is saying and attribute it like in a transcript, in real time(18:38) – This is not a new technology, but the fact that there have been efforts to democratize it and make it accessible as a web service is quite new(19:59) – AI is increasing the velocity of our technology and what we're able to do with it. We do have to be careful, but it's great(21:21) – The space of AI and networking opportunities: Voice Of The Car Summit, Voice Of Hospitality, Voice Of Banking Summit(26:36) – Participatory AI: AI Business School and AI school(31:19) – Democratizing things that used to be reserved for 1% of the 1% tech companies or Silicon Valley, or those very large companies in the Fortune 500(32:04) –AI not only solves business problems or tech problems, but now AI can help everyday problems. AI can help music, art, fashion. Collaboration between MIT and Met with AI(36:30) –Giving back to the community: Lady Coders and Woman in Tech initiativesAdvertising Inquiries: https://redcircle.com/brandsPrivacy & Opt-Out: https://redcircle.com/privacy

[Audio] Podcast: Play in new window | DownloadSubscribe: Google Podcasts | Spotify | Stitcher | TuneIn | RSSBrian Frumberg is the Founder of VentureOut, which launched in 2012 while working at Gotham Ventures, an early-stage venture capital fund. Its mission is to help bridge the gap between the innovators around the world and the endless opportunities available to them in the New York, the most collaborative and diverse tech ecosystem in the world. He’s also a proud advocate of of the New York City's vibrant technology community, as a speaker, mentor, a Co-Founder & President of the NYC Innovation Collective, member of the FWD.us Innovation Council, and as the Founder of the Chaminade Alumni Entrepreneurs Association. Through VentureOut, the NYC Innovation Collective and FWD.us Brian connects with thousands of thought leaders, entrepreneurs, investors and aspiring innovators from across the planet.Episode Links:  Brian Frumberg’s LinkedIn: https://www.linkedin.com/in/brianfrumberg/ Brian Frumberg’s Twitter:  https://twitter.com/BrianFrumberg Brian Frumberg’s Website: https://ventureoutny.com/ Podcast Details: Podcast website: https://www.humainpodcast.comApple Podcasts:  https://podcasts.apple.com/us/podcast/humain-podcast-artificial-intelligence-data-science/id1452117009Spotify:  https://open.spotify.com/show/6tXysq5TzHXvttWtJhmRpSRSS: https://feeds.redcircle.com/99113f24-2bd1-4332-8cd0-32e0556c8bc9YouTube Full Episodes: https://www.youtube.com/channel/UCxvclFvpPvFM9_RxcNg1ragYouTube Clips:  https://www.youtube.com/channel/UCxvclFvpPvFM9_RxcNg1rag/videosSupport and Social Media:  – Check out the sponsors above, it’s the best way to support this podcast– Support on Patreon: https://www.patreon.com/humain/creators  – Twitter:  https://twitter.com/dyakobovitch– Instagram: https://www.instagram.com/humainpodcast/– LinkedIn: https://www.linkedin.com/in/davidyakobovitch/– Facebook: https://www.facebook.com/HumainPodcast/– HumAIn Website Articles: https://www.humainpodcast.com/blog/Outline: Here’s the timestamps for the episode: (00:00) – Introduction(01:56) –CzechInvest is an innovation platform and an accelerator trying to create more efficiency in the global venture ecosystem, by providing opportunities for the most promising innovators and startup founders around the world to gain access to all the opportunities available for them here in New York City and the broader US ecosystem. (03:36) – The venture ecosystem, both in New York and around the US, needed a bit of education on how they should be considering foreign startups in the same way they consider startups that maybe don't today meet their criteria(08:06) – The idea of immigration reform is important. There's not a pathway for entrepreneurs to be able to get to the US market. The instance of entrepreneurship among immigrants is two to three times that of native born Americans(11:07) – Almost all the capital lives in the US and it doesn't invest outside the US(12:35) – VentureOut creates opportunities for companies to get access to the biggest consumer and enterprise marketplace and the biggest venture funding ecosystem on the planet, bringing them to the US(14:31) – Immigration reforms and the work of Fwd.us. We should be focused on this competition for talent, on creating pathways for innovators and doctors and people that have higher degrees in STEM fields to be able to come to the US(20:58) – Should the US have policies more similar to what you see in Europe, it would enable so many more women to be active in the workforce and it would add over 10 years over a trillion dollars to the US economy(26:13) – The EDC is technically a nonprofit that manages both the real estate portfolio of New York City, which is 80% of the work of the EDC, as well as the economic development work to try to diversify the economy of New York away from its real reliance on financial services and Wall Street into other industries that they viewed as the industries of the future, like tech and innovation(36:28) – Within the startup practice of sector programs, VentureOut has been running AI programs with the NYU Future Labs for the last couple of years. It is a very AI machine learning driven program, trying to help these companies blow up their network of real thought meters, and advisors and corporates and investors in the AI ecosystem in New York CityAdvertising Inquiries: https://redcircle.com/brandsPrivacy & Opt-Out: https://redcircle.com/privacy

[Audio] Podcast: Play in new window | DownloadSubscribe: Google Podcasts | Spotify | Stitcher | TuneIn | RSSDr. Michael Capps is a well-known technologist and CEO of Diveplane Corporation. Before co-founding Diveplane, Mike had a legendary career in the videogame industry as president of Epic Games, makers of blockbusters Fortnite and Gears of War. His tenure included a hundred game-of-the-year awards, dozens of conference keynotes, a lifetime achievement award, and a successful free-speech defense of videogames in the U.S. Supreme Court. Mike began his career with postgraduate degrees at UNC, MIT, and the Naval Postgraduate School; for his research in VR, he was featured in SIGGRAPH’s historical documentary on computer graphics. He remains a regular host of multiple television series on the Discovery and Science Channels. Episode Links:  Dr. Mike Capp’s LinkedIn: https://www.linkedin.com/in/mikecapps/ Dr. Mike Capp’s Twitter:  https://twitter.com/solidfog?s=20 Dr. Mike Capp’s Website: https://diveplane.com/  Podcast Details: Podcast website: https://www.humainpodcast.comApple Podcasts:  https://podcasts.apple.com/us/podcast/humain-podcast-artificial-intelligence-data-science/id1452117009Spotify:  https://open.spotify.com/show/6tXysq5TzHXvttWtJhmRpSRSS: https://feeds.redcircle.com/99113f24-2bd1-4332-8cd0-32e0556c8bc9YouTube Full Episodes: https://www.youtube.com/channel/UCxvclFvpPvFM9_RxcNg1ragYouTube Clips:  https://www.youtube.com/channel/UCxvclFvpPvFM9_RxcNg1rag/videosSupport and Social Media:  – Check out the sponsors above, it’s the best way to support this podcast– Support on Patreon: https://www.patreon.com/humain/creators  – Twitter:  https://twitter.com/dyakobovitch– Instagram: https://www.instagram.com/humainpodcast/– LinkedIn: https://www.linkedin.com/in/davidyakobovitch/– Facebook: https://www.facebook.com/HumainPodcast/– HumAIn Website Articles: https://www.humainpodcast.com/blog/Outline: Here’s the timestamps for the episode: (00:00) – Introduction(02:33) –Gaming is a hobby industry that has turned into a massive industry. A really interesting space dealing with rapid onset of AI, just like every other technology businesses(03:15) – Explainable AI and understanding AI and for consumers this is often quite challenging. The education systems in China or Finland put base level understanding of what AI is and what it can do (04:20) – Academic pursuit is important, but it comes down to a mix of nurtured talent and a set of skills that you could get at home, and that shifted into world design(06:45) – There's AI already built into the unity engine that you can use to drive avatars. It is a “democratization of capability”(09:49) – Dr. Capps’ advises: Get enough sleep and ‘throw away the first pancake’(12:23) – Educational games open up the technology to academia, to use for nonprofit projects. The focus at Epic isn't uneducation, but to facilitate more user created content(14:05) – Education comes from engagement, and if you don't understand what engages people, you can't educate. It's understanding what it is that is going to connect with that audience(14:46) – Diveplane: trying to build an open framework for interchange in VR, AI and super intelligence. Chris Hazard’s tech is specifically designed to explain step by step why it worked and then help figure out how to beat that, and we apply it to the commercial sector(17:38) – Empowering consumers is based on the best data we had with no intention of bias. It'll show the most important features, not overall a data set. It technically catches the bias that's happening systematically inside of a system and then try to provide contra positives(21:08) – Facial Recognition Systems are not perfect and they tend to have clustered errors. Banning this technology might be making a mistake in the name of freedom against security(23:43) – Data itself isn’t the problem, but the use for good or ill(25:15) – Diveplane has traceable auditability in their technology, but their focus is on human understandability(29:59) – Games are just one example of an adversarial approach to machine learning(33:28) – Cannons are maybe less hackable than certain neural nets. When you can really generate creative ideas mathematically it's a dramatically beautiful framework(36:18) – Synthesizing entirely new data sets to train up a machine learning model and then generate new data points that could theoretically be within it and what that lets us. A clean private data out of a data set(38:41) – We're so rapidly grabbing onto technology solutions that seem to work and as soon as it works enough, it's thrown into production(41:06) –The paradigm in Cybersecurity will not shift to AI powered defense being better than AI power to tech Advertising Inquiries: https://redcircle.com/brandsPrivacy & Opt-Out: https://redcircle.com/privacy

[Audio] Podcast: Play in new window | DownloadSubscribe: Google Podcasts | Spotify | Stitcher | TuneIn | RSSAlberto Todeschini is a Faculty director, consultant and lecturer in artificial intelligence. He has supervised over 150 projects covering a wide variety of industries and techniques, with a special focus on sustainability in energy and water. He also works with the University of California, Berkeley, GetSmarter, and aivancity. Episode Links:  Alberto Todeschini’s LinkedIn: https://www.linkedin.com/in/atodeschini/ Alberto Todeschini’s Twitter:  Alberto Todeschini’s Website:  https://www.ischool.berkeley.edu/people/alberto-todeschini Podcast Details: Podcast website: https://www.humainpodcast.comApple Podcasts:  https://podcasts.apple.com/us/podcast/humain-podcast-artificial-intelligence-data-science/id1452117009Spotify:  https://open.spotify.com/show/6tXysq5TzHXvttWtJhmRpSRSS: https://feeds.redcircle.com/99113f24-2bd1-4332-8cd0-32e0556c8bc9YouTube Full Episodes: https://www.youtube.com/channel/UCxvclFvpPvFM9_RxcNg1ragYouTube Clips:  https://www.youtube.com/channel/UCxvclFvpPvFM9_RxcNg1rag/videosSupport and Social Media:  – Check out the sponsors above, it’s the best way to support this podcast– Support on Patreon: https://www.patreon.com/humain/creators  – Twitter:  https://twitter.com/dyakobovitch– Instagram: https://www.instagram.com/humainpodcast/– LinkedIn: https://www.linkedin.com/in/davidyakobovitch/– Facebook: https://www.facebook.com/HumainPodcast/– HumAIn Website Articles: https://www.humainpodcast.com/blog/Outline: Here’s the timestamps for the episode: (00:00) – Introduction(01:59) – Cultural difference in cultural attitudes about privacy and concerns that exist in some locations in Asia(02:51) – Difference in attitudes to freedom of speech in Europe and in the US: Americans value freedom of speech less, and it's something similar with privacy. To take privacy seriously on a global level we need to talk to people from around the world and understand that population density, economic growth, and other factors are very important(05:27) – One of the challenges about AI being merged into business is interpretability. If you can't interpret and explain your algorithms to your investors, you may have a hard time. You may choose something that works a little less well, but it is a lot easier to interpret(10:13) – There's a certain technical proficiency that doesn't have to be extraordinary. Involving the experts to solve real problems(14:56) – The dangers of AI. Weaknesses in classification systems susceptible to attacks, either by misfire or potentially more vicious. We are moving into a world with hundreds of millions, billions of gadgets that do machine learning in houses, in hospitals, on army bases(21:01) – Generative Adversarial Networks and a way to be protected from attacks(25:45) – Fake News.We are not going to be able to trust our unaided human consensus with anything that comes to us digitally(29:43) – There's more time and ability allowing us it's increasingly feed different types of data into a single system. That's why the overall system works better to feed different modalities of texts into data, into our algorithms and for users, it will get richer products and richer experiences(34:03) – Augmented human intelligence. Creating experiences where data science and machine-driven learning is able to augment user experience and create better solutions for societyAdvertising Inquiries: https://redcircle.com/brandsPrivacy & Opt-Out: https://redcircle.com/privacy

[Audio] Podcast: Play in new window | DownloadSubscribe: Google Podcasts | Spotify | Stitcher | TuneIn | RSSDr. Travis Dirks is CTO at XLabs, building moonshots powered by artificial intelligence (AI), quantum & neurotechnology. Prior to XLabs, Travis was co-founder and chief science officer of Seldn, an AI that could accurately predict rare global socio-economic disruptions in 12 countries. Travis led the team at Seldn to predict ‘black swans’ such as labor strikes, jumps in commodities & currencies, and societal riots four months before they happened with 95% accuracy. He connects complex science and math to challenging business problems and designing new software solutions with AI. Travis has pioneered several AI algorithms and new approaches to engineering moonshots and novel breakthroughs, including ‘Mental Model Arbitrage’. Prior to Seldn, Travis co-founded and led Rotary Gallop – a machine learning fintech firm that applied game theory to corporate control (for M&A, hostile takeover, and activist situations). Travis’s analyses and quotes have been heavily featured in popular media, including the Wall Street Journal and New York Times. Travis received his PhD in Nanotechnology from the world’s leading institution for condensed matter physics, University of Illinois at Urbana-Champaign, and holds a B.S in physics from Purdue University.  Episode Links:  Travis Dirks’ LinkedIn: https://www.linkedin.com/in/travisdirks/ Travis Dirks’ Twitter:  https://twitter.com/TravisDirks Travis Dirks’ Website: https://www.travisdirks.com/   https://xlabs.ai/ Podcast Details: Podcast website: https://www.humainpodcast.comApple Podcasts:  https://podcasts.apple.com/us/podcast/humain-podcast-artificial-intelligence-data-science/id1452117009Spotify:  https://open.spotify.com/show/6tXysq5TzHXvttWtJhmRpSRSS: https://feeds.redcircle.com/99113f24-2bd1-4332-8cd0-32e0556c8bc9YouTube Full Episodes: https://www.youtube.com/channel/UCxvclFvpPvFM9_RxcNg1ragYouTube Clips:  https://www.youtube.com/channel/UCxvclFvpPvFM9_RxcNg1rag/videosSupport and Social Media:  – Check out the sponsors above, it’s the best way to support this podcast– Support on Patreon: https://www.patreon.com/humain/creators  – Twitter:  https://twitter.com/dyakobovitch– Instagram: https://www.instagram.com/humainpodcast/– LinkedIn: https://www.linkedin.com/in/davidyakobovitch/– Facebook: https://www.facebook.com/HumainPodcast/– HumAIn Website Articles: https://www.humainpodcast.com/blog/Outline: Here’s the timestamps for the episode: (00:00) – Introduction(01:49) – For XLabs, moonshots are those startups which change your perception of what's possible. It should push out the boundaries of possibility(02:58) – XLabs’ goal over the next 10 to 15 years is to develop start-ups in each theme to change the aspects of the world in three categories: amplifying genetics, creative destruction of the internet and culture as a technology(04:16) – Uber, self-driving and state-of-the-art technology to shy away from uncomfortable things and interact as people.(07:01) – XLabs trends include X-core, a metal learning AI engine pipeline that learns to build other AIs and genetics data to predict cancer(08:56) – Mental Model Arbitrage is essentially the idea of going to other fields, intentionally seeking out their best ideas, their best models, their best tools, intentionally generalizing them to see where else you can apply them(11:17) – AI is on the verge of great things that don’t happen as fast, because of trying to show that an algorithm could do what someone thought it would do as opposed to being built with the assumption that it will do its job(12:50) – AI is essentially the attempt to duplicate things that come easy to human beings. We're more interested in the space of things that are not easy for humans or computers, and it’s called Amplified Intelligence(15:54) – X-core is really an evolution. Rebuilding in a more general way an engine that allowed us to make stunning predictions about rare events such as labor strikes, commodity prices, violence break outs through complexity physics or “mining of human knowledge”(18:39) – Why investment in research for moonshots is not as high(21:42) – The XLabs purpose for a moonshot company in a nutshell: be driven, develop something relevant to AI, machine learning or cloud computing, breadth of interests and  surprisingly rare skills(23:37) – The allegory of the showman and the artist in the entrepreneurial scene(29:41) – Dirks’ recipe for achieving great thingsAdvertising Inquiries: https://redcircle.com/brandsPrivacy & Opt-Out: https://redcircle.com/privacy

[Audio] Podcast: Play in new window | DownloadSubscribe: Google Podcasts | Spotify | Stitcher | TuneIn | RSSTara Chklovski is CEO and founder of global tech education nonprofit Technovation (formerly Iridescent). Prominently featured in the award-winning documentary Codegirl, Forbes named Chklovski “the pioneer empowering the incredible tech girls of the future” and Discovery Science Channel named her its first “CEO Science Super Star Hero” for her work encouraging the next generation of innovators, problem solvers, and game changers. A frequent advocate for STEM education, she’s presented at the White House STEM Inclusion Summit, SXSW EDU, UNESCO’s Mobile Learning Week, and led the 2019 education track at the UN AI for Good Global Summit. Since founding the organization in 2006, Technovation has welcomed more than 130,000 children and parents, and 14,000 mentors, to participate in its programs in 100+ countries.Episode Links:  Tara Chklovski’s LinkedIn: linkedin.com/in/iridescentTara Chklovski’s Twitter: TaraChkTara Chklovski’s Website: https://www.technovation.org/ Podcast Details: Podcast website: https://www.humainpodcast.comApple Podcasts:  https://podcasts.apple.com/us/podcast/humain-podcast-artificial-intelligence-data-science/id1452117009Spotify:  https://open.spotify.com/show/6tXysq5TzHXvttWtJhmRpSRSS: https://feeds.redcircle.com/99113f24-2bd1-4332-8cd0-32e0556c8bc9YouTube Full Episodes: https://www.youtube.com/channel/UCxvclFvpPvFM9_RxcNg1ragYouTube Clips:  https://www.youtube.com/channel/UCxvclFvpPvFM9_RxcNg1rag/videosSupport and Social Media:  – Check out the sponsors above, it’s the best way to support this podcast– Support on Patreon: https://www.patreon.com/humain/creators  – Twitter:  https://twitter.com/dyakobovitch– Instagram: https://www.instagram.com/humainpodcast/– LinkedIn: https://www.linkedin.com/in/davidyakobovitch/– Facebook: https://www.facebook.com/HumainPodcast/– HumAIn Website Articles: https://www.humainpodcast.com/blog/Outline: Here’s the timestamps for the episode: (00:00) – Introduction(02:32) – The AI Family Challenge is the first program for children and parents. Families can gain a better sense of how their world is being shaped by AI and in a very practical way, bond together and learn about different AI technologies(03:39) – Communities that are not empowered by technology can still have the best ideas, even without the software being at their hands. These are people that are curious about their world.They’ve heard about AI, but not in a way that is accessible or that invites them to be part of the conversation(06:32) – Encouraging the entrepreneurial mindset in these communities around the world to replicate innovation, where each individual can have a stronger voice, can have a stronger influence, a stronger sense of agency(08:06) – These communities are very similar, despite pretty large differences in socioeconomic status: very low human development indexes. But the interesting commonality is that each one of these participants are risk takers. Very few people would sign up for an AI education competition(10:00) – Over 95% of the parents think that their child is capable of creating something that's AI based in the future(12:29) – Technovation challenge is a program running for nine years across more than a hundred countries, for girls who find problems in their communities and create mobile apps to solve them. They work not with their parents, but with mentors (13:38) – Around 50% of its effort goes into collaborations with the local government, which provides some degree of support in terms of infrastructure or access to the internet, or the data is not that expensive.10% of these efforts are in countries where there's absolutely no support system(16:10) – Iridiscent’s mission is to work with groups that have typically not had access to resources and opportunities and to empower them, that they can be leaders, but using technology, which is an amplifier(16:39) – Diversity of thought is the key. Intellectual diversity and the perspectives that you bring and the training and the experience that you've had(17:57) – Hiring, retaining and attracting talent that can be intellectually at the same caliber. No matter their background, especially from other privileged countries and frontier communities. It's not about whether you're black or brown or white but how to build or develop self-driven learners(19:51) – Self-motivated learning and how you drive resilient, long-term interest in technical content (22:11) –The keys to self-motivation: exposure to someone who you respect, experience, excitement and video games, energy (28:30) – It takes a tremendous amount of effort to find these partners, to train them, to run the program on the ground, to build a sense of community and then to come back next year and to continue the momentum. This is a complex social issue with multiple factors.(29:22) – All these different countries that have gone through a common experience. And that's the power of technology. That brings people together that would never have come together.(32:35) – Ethics involves thinking deeply about the product that you're building. Developing your own self awareness. Normal human individuals who would never be product innovators and developers are now being asked to develop products that go and touch many people. (36:47) – The partnership between humans and AI needs to be a global conversation. Empowering participants to be more creative, more innovative. To support students in thinking more creativelyAdvertising Inquiries: https://redcircle.com/brandsPrivacy & Opt-Out: https://redcircle.com/privacy