The Future of Inclusive and Multi Diverse Technologies

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[MUSIC] Good morning everyone, my name is Lucy Lin. I am  the Founder & CMO of Forestlyn, and an advisory   board member. I want to begin by acknowledging  the Traditional Owners of the Land which I’m on,   the Gadigal people of the Eora Nation. This  is their land, never ceded, always sacred.  

I also pay respects to the Elders of the  past, present and emerging of this place.   I also acknowledge that we have people joining  us from many other places, and I respect my,   and I pay my respects to the Traditional  Owners and Elders of their land as well.   So this event has closed captioning as you can  see which can be accessed from your control bar   and we’re here joined by Chelsea Turner who is  providing the Auslan interpretation. Throughout   we encourage you to get involved and please put  your questions by using the built Q&A function   here in Zoom and you can see there’s a toolbar  on the bottom of your Zoom window as well.   So I really want to thank you everybody  for joining our webinar this morning,   it is "The Future of Inclusive  and Multi-Diverse Technologies".   This event is brought to you in partnership with  the Remarkable, Spark Festival and Forestlyn.

Remarkable is Australia’s leading startup  accelerator focused on creating inclusive   technology for people with disability and  the division of Cerebral Palsy Alliance.   Spark Festival is Australia's largest event  for startups, innovators and entrepreneurs,   and Forestlyn is a strategic marketing  consultancy focused in the technology sector.   So I just want to say I’m  really excited for today,   throughout my 18 years career, I’ve worked very  closely with the latest technologies and startups,   and many are AI focused and today you know I’ll  be facilitating a talk with one of AI’s forward   thinking ethicists. So it is an honour to have  Yonah Welker join us from Switzerland today. So starting with neurological and autoimmune  disorders, Yonah overcame obstacles through   a technology journey involving AI,  social robotics and adaptive learning.   He is a technologist, an explorer and VC and works  on the intersections of tech, AI, human ability,   society and ethics. His contributions include  projects with MIT, Singularity University,  

500 Startups, Techstars, European Commission  and the World Economic Forum. Recent appearances   include places like New York, Switzerland,  Singapore, United Arab Emirates, UK, Lebanon,   Malta, Spain, Italy, France; and we are  glad to add Australia to the list as well. So we’re going to start with a presentation  from Yonah and Yonah, please take it away. Yep uh thank you so much for introduction  and first of all I would like to   add that my mission currently is a very clear  for me and it's really make my life it's   easy and very complicated at the same time  because my work is focused on changing of a   state of things and in the field of neurodiverse  technology, disability assistive technology.   Which why I need to connect many dots in  research and which why I spend significant time   dealing with the hackathons, academia, venture  capital and which why I need to work with 500,   Techstars and other ecosystems and also policy  makers. It's a very complicated, in in in most   cases, I’m kind of the most depressive and I would  say the most a pessimistic person in the room and   but at the same time it happy, it helped  me to come up with the perspective   and recipes how to solve these problems and today  I would love to share my explorations and overview   of our results and what we were able  to come up with towards zero exclusion   in such areas as autism, dyslexia, many  various gender problems and one of the   a typical question I received then I deal with the  professionals and VCs in inclusive technology is,   why you still care about, why spend spend so  many efforts in this area. Just look at this,  

Microsoft and Amazon just introduced  accessibility program for hearing impairment,   or a Google glass collaborate with autism focus  startup, and for instance, these guys even were   a guest on my podcast, or tech companies try  neurodiverse hiring platforms in order to pick   people with neurodiversity, and help them to  find jobs in Google, Amazon, Twitter, or schools   experiment the social robots for ADHD and AI  trainers for dyslexia, and, yes that's correct. We   just work with a search startup from Denmark, at  the same time just look at this musician NGC from   Canada, she's experiment with the bio feedback and  imagination to control a modular synthesizer. Yep   yep it's correct, it's brilliant and basically we  even work on neurodiversity museum. Everything is   a really good but the problem is that 90 percent  of people with autism are still not employed,   only one of ten people with a different type of  disability have an access to inclusive technology,   and the same time we have a rise of many ethical  problems related, related to algorithmic bias   for both genders, the black box and transparency  problems related to social robots, AI, platforms,   supremacy of algorithms, then we are not able to  make a correct decision for instance in nursing   practice when doctors try to help kids, they use  AI but for sometimes it make mistakes and we're   not able to use double check principle to solve  it, filter bubble, technical fixes and so on. So we have many problems to to fix and that's  why today I would love to share the steps   we're able to use in order to become closer  to the future of a multi-diverse technology,   both in terms of a gender, race problems and  also disability, neurodiversity problems.

So one of the key actions we try to bring to the  table is a representation in technology teams,   some people often ignore this point but if we go  to a research topic as an annotation or labelling   in AI we face significant problems because we have  no relevant teams focused on particular problems.   There is a very good phrase, on shared on World  Economic Forum, AI can be ever the silver bullet   for all all existing problems on the planet,  but at the same time it can be the source of   apocalypses and it's really depend who and how  ask question and that's why we have an Amazon,   we have a Twitter, we have many disability focused  startups but we're still not able to solve some   problems because we're not able to align people  responsible for research, annotation labelling,   dealing with data sets, and people who actually  consumers, patients. I'm a patient, I'm dealing   with the technology who doesn't work sometimes.  I'm a better tester. So what's the problem we  

try to solve, in terms of women, only 10 percent  of tech and data, data science teams presented by   women, in terms of other groups, small groups,  as a neurodiverse individuals, as a disabled   individuals, we have a just a tiny percent of  such people and for sure we're not able to come   up with a relevant approach in terms of, not only  empathy, but just a simple cultural or cognitive   relevance, so which why it's the first thing  we tried to solve, both in terms of so-called   diversity in inclusion policies but also using  such tools as a hackathons to involve more people.   I collaborate with Women and AI, I talked in teens  and aa, but it just the beginning, we still very   far from something really good. Another thing I  still deliver in, is a collaborative AI in data,   when we deal with the neurodiversity, no matter is  about autism and Asperger or if we go forward to   mental health like schizoid personality disorder,  schizophrenia and other conditions, we deal with   the problem of a lack of data. Every time we  face the situation we need more data related   to MRI scans, information of neurotransmitters,  feedback from patients from different countries,   and in most cases, startups have none of  this information, they're not able to go   to the hospital, to the diverse patterns of of the  patients, so in most cases, I see solution in open   employment and diversity data platforms, mental  in general well-being data in the workplace,   neurodiversity in neuroeconomic data platforms  and, what's what for instance we've seen arise   in the last year. I’ve seen many startups  working on open data on women involvement,   disabled people on workplace, information about  health and mental health, and also about different   type of disabilities, which accessible in open  source for everyone but once again the next stage   is trying to put it in more structured way,  in more difficult cases related to tumours,   particular neurological disorders and so on.  Another thing, and specifically related to  

startups in companies looking for a funding in  inclusive space, unfortunately one other problem   I face every day, the diversity in inclusion  focused startups are not able to get funding   because we don't fit so-called Y Combinator  criteria, both in terms of a growth pace,   in terms of their business structure and business  model, and also the fact that we need a research   and science behind it, so even successful MIT  alumni and students, even though we receive   some support from government, they still fail  to become and thrive as a Y Combinator alumni. So, what's the solution, so on one hand, we're  working on towards a broader market than we able   to use, for instance, rehabilitation exoskeletons  is a for instance a tool for an extreme type of   sport or a tourism, so broader market in order  to involve more people. At the same time, I see   an evolution of, for instance, AI and robotics  companies into learning companies, over my series   of podcasts I spent talks with social robotics  companies, both from Europe and United States   and we agreed that today, for instance, social  robots focused on autism, it's not a field of a   hardware development anymore, it's a field of  learning companies because you need to create   a box for teacher, for schools, for educational  agencies, so we could use it in the full cycle,   using the principle - don't make me think -  because in most cases, schools, hospitals and   other specifically government-funded organisation  they too full of bureaucracy, particular type of   long-term decisions, so you need just to pick the  box, put on the table and it should work. So for  

instance one of the companies called RoboKind  from US, they use, they created curriculums   for social robots used for  autism and includes particular   parts of the spectrum ideas and cases would help  teachers use it without additional involvement.   Other things and I mentioned it before,  is that AI ethics, Just one month ago,   I’ve created one of the first paid framework  related to social robotics, AI, human-centred AI   and ethics for European Commission but we're still  just the beginning. We still lack of frameworks   focused on AI and inclusive technology and  specifically related to young adults and children.   Before 2020, we not had any frameworks focused on  young people, only in 2020, UNICEF came up with   a framework focused AI and children and it was  focused on smart toys, educational and learning   tools and, after that, World Economic Forum came  up with the Generation AI project, but once again,   today, startups mostly work in situation they  create robots and they for instance try to be   aligned with the GDPR, data privacy but we have  no idea about human rights, different legal   circumstances, in differences in a legal  environment in different countries, so we have no   frameworks and what we try to create, but another  problem, even though we create these guidelines   on the huge level or on the level of institutions  like Turin Institute in the UK, we should make it   open source and which why in recent years I tried  to being part of the open source movement like   Montreal AI Ethics in Canada, like All Tech is  Human in New York and we try to create open source   guidelines. How to be involved, for instance, an  AI ethics field, how to use it for your company,   how to come up with the ethical framework for  your organization or startup, so everyone is able   to join these communities, download it and use it  any time so it's a very simple. And the last thing  

I would love to mention is a conclusion of my  very quick talk, is a principle of zero exclusion.   Recent years most of my colleagues were focused  on the principle of inclusion but the problem is   that most of the ecosystem until today were  created by the same type of let's say white males   from western countries with a particular type  of ideas and vision of the world and after that   other people just try to fit and we just try to  include them, but the problem is which we need,   we should just decentralize this approach from the  beginning, creating the centralized team from the   scratch, making cultural changes, involving social  scientists, ethical professionals, into our teams,   creating, for instance, accessible moral  vocabulary for our teams where everyone in your   team is able to become so-called agents of change  or agents of ethical frameworks. For instance in   the recent year we started to use education in  organization focus on bioethics, human rights and   development of mindset, then developers  specifically focus on AI or social robots for kids   have a fundamental understanding not only how to  create technology but how to make it transparent,   explainable but also aligned with existing laws,  human rights. At the same time when we able to be   accountable on every phase of development,  starting from the testing and finishing   with basically implementation, in deployment.  And the final thing I would love to mention,   when we deal with the complex technology, like  AI platforms, robots we try to avoid so-called   technical fixes, because until today companies  like Facebook, if something bad happen, they just,   for instance, when they deal, with the  disinformation, with not really efficient   algorithms, they just came up with the new  feature. So after one wrong feature, we create   another in order to have to make up previous one  but the problem is which we just had no relevant   team members, team culture, organizational culture  criteria, we had no knowledge about particular   cultures, genders, social groups, disabilities  and that's why our technology failed in terms   of facial recognition, in terms of speech  recognition and so on. So thank you so much,  

I tried to put tons of insights and data in just  15 minutes but hopefully it was useful, thank you. Thank you so much Yonah. That was a lot of  info. I know that you know we only gave you   15 minutes. I think you actually did  it all in 10 which is even better,   but you know we wanted to make it more interactive  and have lots of questions from the audience.   Yeah I hope you enjoyed that. Please as I  said, write your Q&A in the Q&A section or   in the chat and we will get those asked by Yonah.  But let's go into the Q&A, so I'd love to ask  

you know, it was very insightful what you  just presented but can you, could we hear   a little bit more background to your story as  well, so how did you get started in the field,   what was your mission and what really drove you  to become so passionate about AI and ethics. Yes first of all, I started  my journey around 2004,   I've started to write about technology  because I was really passionate   about it. I still remember with my first work  was a white paper about the history of Nvidia,   which one, which currently one of the the most  active companies in terms of VR technology   and video adapters, but recently, well up  to, that I became involved in hardware field.  

I actively work across Asia-Pacific region,  and later I combine two main areas of my life,   is a passion to creativity in art, I'm a composer,  and into technology and with how I become involved   in platforms like MySpace around 2009, and  after that I started to explore data science,   social networks deeper and that's how I came  up with several startups related to big data,   and later I use all of this knowledge in order to  combine it with my own obstacles, because I was a   self-learner and I would say that the fact that  my condition just pushed me out of the society,   it was a huge pain for me, I was a, I don't,  I don't, I don't want to sound egocentric but   I was extremely smart when I was a kid but then  my condition became worse and became naturally   I would say good performing in terms of my, let's  say, conditions. So I always dream to become a   part of MIT, Harvard. I dream about being a part  of some very smart, very knowledgeable ecosystems,   have access, opportunity to realize my potential,  it was a part of a huge pain, huge depression so   I just tried to connect all of the dots of what I  know, in terms of open source platforms, in terms   of a robot, so how it could align it in order to  make cities more accessible, how to make education   completely decentralized, how to align particular  mental patterns or spectrums in technology,   how we can use technology for instance like  semantic analysis or collaborative filtering   to find like-minded people in order to facilitate  collaborative creation or collaborative learning   or more efficient education  for for particular type of   disorders or healthy ones who just would love to  empower the learning process. So actually it was a   very genuine process, full of obstacles,  full of full of depression and every time   I use myself and similar people, my friends,  other patients, in order to understand challenges   and troubles we have and just trying to  come up with some ideas and hopefully   in some point I’m actually faced startups which  work on this field and I just try to being a   connector, create something similar or better  and that's how I became a part of this movement. Yeah no. That's great. It’s, it’s, it's always  fascinating to hear everyone's backgrounds, really   and how you came the way you are. In  our audience I know that we've got  

quite a number of entrepreneurs and startups  who are, you know participating and listening   to this talk. I'd love to hear, you know you're  a, you're a mentor, board, owned, a board member,   VC etc. Do you have any advice  for any startups and entrepreneurs   in this space and what they need to do to kind  of follow, you know your steps as well perhaps.

Yes, it's a very good question, question, first  of all, I think we live in very good time to be an   entrepreneur. There are so many opportunities and  first of all, typically I recommend people to make   two main main steps. First of all, is to join  like-minded communities, for instance, if you're   women it's too really good to become  a part of Women in AI or Teens in AI,   because it help you to find like-minded people  and share and exchange ideas to come up with some   startup ideas to, for instance connect people  who work in similar research field, and after   they start to participate in hackathons in order  to come up with the first prototype and typically   as you have a prototype team you're able to join  some acceleration programs like a 500 Startups,   Techstars, Y Combinator, or you will be able  to work on your own on bootstrap because   there are crowdfunding opportunities, you you  can work completely bootstrap way. There are  

successful unicorns like Mailchimp or Atlassian,  which become a billion dollar companies,   even without any funding. So for sure it can be  very difficult but there are many opportunities   and another thing I would love to mention.  Currently we have a shift, from I would say salesy   entrepreneurs, when we have a huge movement,  just everyone is able to become entrepreneur,   you just need to create some simple app. Currently  we have a shift to more scientific driven startups  

in companies, for instance, recently a startup  accelerator from the UK is called Entrepreneur   First. It's very active in Asia Pacific as  well. We attracted over 100 million dollars   because we were focused on founder focused  model driven by a combination of research,   PhD people and very smart people who able  to convert their brains into technology,   so currently the main assets be behind most  of the team, it's not just money for instance   or a revenue but also a scientific and highly  impact model which able to change the future   in huge scale, so I'm really encouraging you, for  instance if you currently part of universities   to continue your education in combining your  entrepreneurial endeavour in ventures with   your current education to deepen your research  and then combine it with the relevant people   and as a kind of a criteria I consider one  of the best to become entrepreneur today. I think education is really, really important  and I think you mentioned that quite a   number of times during your talk, which is,  which is great because I think you know yeah.   I just think education is like the backbone  of so many things including education into   newer technologies, AI etcetera. I want  to move into more diversity and you know   this talk is very much focused on diversity.  You talk about diversity as a way to build   startups, and can you explain why startups is is  important to have more diversity and then what   would startups also need to do to ensure that  diversity inclusion is one part of their teams.

Yes when I work with startups in  ecosystems like 500 for instance,   one of the key issues or reasons why they fail  is the lack of a correct user research and I   even created a course focus on user research and  product research in dealing with data in order to   analyse your insights, create correct  labels extracted from your interviews,   surveys and so on. For instance we recently  spent it in in South Korea, but the problem   is then in most cases founders are not able to  ask correct questions, so for instance when you   created products for neurodiverse people it's good  to have a neurodiverse people in your team who   are able to have an empathy, an understanding  of a problem from the personal side as well.   That's what related to user research but  in the same related to development process,   when we have a diverse teams we are not  able to create products focus on particular   audiences. If we have no women in technology  we're not able to create baby products better  

health products, health women health products and  so on, if we have no neurodiverse people in teams,   the same work for a neurodiversity,  so that's why some problems were never   mentioned in venture capital before because  nobody cared. In just recently one of my peers,   she created venture funding platform  which only invest in Autism focus startups   because in most cases people who for instance  have autistic kids or relatives with such problem   they know this problem and they become venture  activists, but why they care, which why they   actually dedicate themselves to this problem and  start to invest and the same with the founders.   Until you part of this problem you really start  to dedicate yourself to quality user research,   ethical consideration on every level, not  just a quick pitch deck raising some funds,   enough to it just making an exit. It's just  a question of your personal responsibility,   because as I mentioned before, we have a one of  a project which is called Neurodiversity Museum,   is dedicated to my creative work music but  I and basically we have a collab, we have a   even talk and negotiation with one person from  Australia and the main idea is to help people to   understand when how people of different type  of diversity feel themselves, how we see the   world. We need to help people to understand these  differences and that's why we're not able to learn   (we) empathy, we should experience it and that's  why I believe diversity are crucial for all   teams in order to help people experience  empathy and create with empathy in mind. Yeah I think I think user experience and empathy  is so important. Definitely think you hit the nail  

on the headband, especially in terms of product  development. If you have any questions please   answer in the Q&A or in the chat function and I  will try and raise it, and we do have a question   from Katharina, who asked, it's sometimes easier  for startups to use innovative technology as   they're at the beginning of their business journey  and they're often smaller. What are your, like,   you're in larger organisations, they have so much  more priority and they're competing for attention,   so do you have any advice for larger organisations  and especially in the diversity and inclusion   professionals for larger organisations  - how they can also be more inclusive.

For sure and we have much more opportunities  for that, we even work for a project which call,   called Zero Exclusion and our goal is to spread  ambassadors of zero exclusion to any compass,   to any organization, to any startup. So basically  you should come up with a ethical or inclusion or   zero exclusion of framework, would become a part  of your culture including internal policies,   your development design process. So the problem  is that, before that, we just try to create a   diversity inclusion department. In my in in my  view it doesn't work because it doesn't create   a culture, the problem is that we just have no  correct social science education and understanding   of the problem and until people, all the people,  developer, designers, marketers, sales people,   actually have a knowledge in bioethics, human  rights, in understanding the problem we're able   to leverage with a framework on every level,  we're able to create a policies and guidelines,   introduce it on every level and hopefully to  come up with some results, but once again it's   a very systemic process. One of my peers who  became inspiration for my work is Tiffany Yu,   she created a movement was called Diversability,  is one of the biggest and movements focused on   reshaping how we feel and understand a disability,  more kind of our superpower but not just a kind of   a limitation and I believe until we are able  to deliver this mindset, not only to disabled   people but healthy ones, we’re not able to change  the status quo and what what just creation of a   let's say inclusion and diversity department  doesn't work because they become just kind   of overseers of observers for people for other  people who still don't care and that's why we we   we didn't see significant results in recent  years. I mean we talk about inclusion,   we created department but statistics still not  really good. I mean we still have just a 10,  

11, 12 percent of women in technology, disabled  people still have have no access and yes I mean   I'm working remotely all of my life but it become  possible just recent two years after COVID-19   just to conquer the whole world, before that  most ecosystem were not friendly for remote work,   for most of the accessibility options, it was  mentioned on their sites but in reality we try   to avoid this option, picking a healthy one with  what I, I faced more than 100 times. I even create   experiment then, we send two, this same type of CV  and CV with disability was rejected 100 times. So   what's how our world works, I mean nobody actually  would love to solve problems, we would love to be   responsible only in verbal way but until we really  reshape the whole culture, introduce frameworks,   put social scientists, social responsibility  people in our department and we actually introduce   correct education in bioethics and human  rights and empathy and nothing actually works. Yeah I really like that response and yeah I I  I completely agree with you. I mean I I think   a lot about how the world has changed because  of COVID and and you know you touched on this a   little bit in terms of your talk earlier, but I  think a lot about our mental health as well and   I think everybody's mental health has just shifted  a bit since, since you know the world has changed   about a year ago now. In your mind, like you  know the mental health or diversity inclusion,  

how how have you seen has it gotten better,  worse, like how do you find a solution   especially for this space and has technology  being able to assist with that do you think. Yes mental health is a very tough tough  field. I’m a mental health patient, I use   an antidepressant recent years, and I believe it's  almost impossible solve mental health issues until   we actually reshape our industry. For instance, if  we go to research field as a depression, we had a   very efficient medication in 1960s, 1970s but in  the moment then depression became as a mainstream   thing, companies start to create naturally  efficient medicine for everyone who just have a   bad mood or some slight depression. In in the  end we just stopped actual research in the major   depression syndrome and related condition and  that's why many of the patients like me used very   old drugs from the past and only now they return  to this research maybe five or ten years ago but   until then we had no actual progress. So I believe  as we are able to reshape venture capital and   investment field in order to become more focused  on impact, on in connection on customers, we will   be able to come up the stack of solutions with  what I call ecosystems or clusters, for instance   related to VR, AR, digital therapy, medicine and  everything should be focused on actual results,   not for instance entertainment of people with  mental health as some apps work but actual   therapy and actual responsibility for result  because in most cases solutions I've seen before   it was about like VR against anxiety, or some  slight PTSD, but in case of bipolar disorder,   major depression it just didn't work so we invest  millions of dollars in another toy. Yeah sometimes  

it makes sense to make toys but in the end the  main market should be focused on actual therapy   and basically I'm a venture partner for  a fund, it's called Tabula Rasa and it's   focused on experimental and the new generation of  medicine in mental health, so is a part of my work   but since I'm very responsible I never share any  details because until we're able to treat people   and people became really healthy, until  I tested myself, it's it's better to   never share anything as some people like Elon Musk  say that they're able to treat schizophrenia with   the Neuralink, it's just really irresponsible.  Millions of people struggle, some people,   thousands of people die due to suicides and it's  really not filled for jokes, it's not funny,   it's a significant challenge and yes and there is  still a significant road for reshaping industry   creating combination of technology medicine and  responsible doctors and professionals, as I call   it is a medical engineers, because even nurses  today deal with AI platforms, computer vision,   facial recognition and I had an episode with  the one of the the most famous nurses from   United States, so yes as everything start to work  in this direction I expect some good results. Yeah no, I completely agree with you there  and I just think it's it's a major issue   and it's going to get bigger and yeah and I  think we need to step up and do a lot more.   I'm just looking at the time I'm gonna have  one final, final question, very quickly.  

This is something that's pretty close to  me, you know you talked a bit about AI and   women in technology and I'd love to hear  a little bit more about the representation   issue. There's only about 10-15% of professionals  who are women and other groups. Can you suggest   more actions on what we need to take in  terms of improving this underrepresentation? Yes, just today I shared an interview, I spent for  so many areas, she's one of the top influencers in   UK, she created, of, she creates women think  tank and fem peak platforms focus on women in   technology, so we had a joint talk about this  problem and the key recipe I've shared is a   whole reshaping of industry and venture capital.  I believe until we try to just include women in   male created Silicon Valley it will never work, so  what's why for instance in Women in AI we create   wholistic system from scratch, in completely  decentralized way and some people are really   surprised, Women in AI, open to male as well.  Some male, able to participate in our ecosystem,   do you know why, because way we will see that  our hackathons more efficient and they deliver   more results and they're able to be more  efficient in terms of health technology,   educational technology, social justice, ethics  because nobody cared about this problem before,   so the only thing to create representation  is create alternative. Not just to include   women as an assistant or as just a part of  a board but created completely women-driven,   women-owned ecosystems which able to  demonstrate how women-driven hackathon   could create better innovation or equal  innovation, how they're able to create a   venture capital, venture funds and basically  this is the same problem with the racist and   ethnical groups in technology, until we have  a black owned or Asian owned companies we will   never be able to solve particular problems.  So I don't believe in inclusion, I believe  

in actual equality and equity, when everyone is  able to create their own ecosystem, on their own,   on their own rules with like-minded people in  the centralized way, choose which way how we   would love to fund it, choose we, choose which  topics and things we care about it, so if people   would love to be focused on health, so let's do  it. Not think technology or insurance because   Silicon Valley cares about it, nope, for instance  women would love to solve other problems with how   I see it and with how I try to facilitate it. For  instance in Women in AI because we will create a   hackathon in June and I've joined them in order  to co-lead expansion in the United States, so   you're open to join us and to see how it actually  works then everything created by women in the   centralized way, completely on democratic basis,  yeah, complete open source and we will create an   AI technology platforms, apps and maybe  even robots. So yeah that's how it works. Fabulous well I, we're just running out of time  now but I really enjoyed this conversation. Thank  

you so much Yonah for your time. We covered so  much, we've covered everything from representation   to empathy, to AI frameworks, to autism,  accountability, transparency and education,   so many other things that I think we talked about  today. Really, really grateful for your knowledge,   thank you so much. I've learned a lot. I really  will also want to touch base in conclusion the end   of this talk. So on behalf of Remarkable, Spark  Festival and Forestlyn, I really want to thank  

everybody for joining us today. Thank you also  Chelsea for interpreting and most of all thank you   Yonah for your very thought-provoking discussion  to reimagine ability, technology and also ethics. I hope you all can stay connected with Yonah and  also myself through our social media channels,   and really to stay up to date with Remarkable  accelerator and to learn more about events that   they host during the year, you're very invited  to also follow them on all the social channels   and subscribe to their Youtube channel  and also sign up to the newsletter,   for the Spark Festival, which is an annual  event in October, it's a great source   throughout the year to also find out  about other events, so make sure you   are subscribed to their, go to their  website, subscribe to the weekly spark   newsletter and to list any other events that's  coming up in the Australian startup ecosystem.

This event is recorded and it is going to  be made available on the Remarkable Tech   and Spark Festival YouTube channels in the  upcoming weeks. Please be sure to subscribe.   Finally your feedback is very important to us so  please take the time to please complete the survey   that is going to be in your inbox shortly. Again my name is Lucy Lin, thank  you Yonah so much for your thoughts   and insights today and I really wish everybody a  great rest of day and thank you for joining us.

2021-04-01

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