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Science is in trouble Information overload Built-in bias - PowerPoint PPT Presentation

Science is in trouble Information overload Built-in bias Reproducibility issues Access issues Incentives Founding team from Singularity University Anita Schjll Brede Victor Botev Maria Ritola Jacobo Elosua CEO CTO CMO CFO Has built


  1. Science is in trouble Information overload Built-in bias Reproducibility issues Access issues Incentives

  2. Founding team from Singularity University Anita Schjøll Brede Victor Botev Maria Ritola Jacobo Elosua CEO CTO CMO CFO Has built several high- Has done AI research Has created global Has secured billion tech startups & built products communities dollar deals

  3. Iris.ai is helping Information overload Built-in bias Reproducibility issues Access issues Incentives

  4. Iris.ai 4.0 works with the researcher Result Focus Explore Start Bypass human made Define a problem Narrow down to exact Draw conclusions taxonomies to get a fresh statement to solve in reading list without based on highly perspective and broad overview 300 words. reading a single paper. relevant papers. of the problem. IRIS.AI 4.0

  5. Iris.ai tool results +30% -90% Time reduction Interdisciplinarity Fewer misses

  6. We’re doing well! - Top 10 Innovative AI company - Raised $2M - Paying blue chip corporate and top nordic university clients - 10,000+ registered users - Proven technology through peer reviewed papers 2017 Top 10 2016 Most Innovative Company London in Artificial Intelligence Startup Battlefield Contestant

  7. Buuuuut… Information overload Built-in bias Reproducibility issues Access issues Incentives

  8. Introducing Project Aiur Aiur is entirely community owned Validated repository Knowledge Validation Engine New incentive model Through creating the AIUR token Semi-automating quality review Open, validated and accessible

  9. Why blockchain and a token? Two sided marketplace without set prices Pseudonymity Communal property New economic model can be designed from scratch All members own it (DAO) Equal opportunity, equal scrutiny

  10. The incentive model Earn tokens Spend tokens • AI Training • Iris.ai premium tools • Coding • Directly to the Aiur engine • Quality Assurance • In 3rd party services • Publishing • Building 3rd party services • Peer reviewing

  11. The Knowledge Validation engine “Semi-automated peer review” hypothesis extraction paper argument mining hypothesis ‘truth tree’ report each assumption validated trust level of each hypothesis Time line: 4 years

  12. The Validated Repository - Failed results - Parallel publishing - Open access - Peer reviewed - Ongoing review - ++

  13. Governance Iris.ai is the initiator, not owner Community decisions 75% of funds to community 2% ownership cap Iris.ai redistributes within 18mo Token sale opens May All members has voting power

  14. So… people make money on tokens, right? The token is functional but there is value potential 3rd party tools Repository Technology The Aiur KVE will be a powerful tool A unique, growing, living body of Funnels corporate money in to the knowledge ecosystem

  15. But why are you doing it, again? - The Knowledge Validation Engine - Strategic revenues - First mover advantage … and most important IMPACT.

  16. Meet our amazing advisors Peter Suber Amit Pradhan Philosopher specializing in the philosophy of law and Founder and President of the Silicon Valley Blockchain open access to knowledge Society & Founder at Zero AI Petr Knoth Söenke Bartling Associated researcher in blockchain for science at Senior Research Fellow in Text and Data Mining at the Alexander von Humboldt Institute for Internet and Society Knowledge Media Institute, founder of CORE Joeran Beel Pascal Finette Chair of Entrepreneurship at Singularity University Assistant Professor in Intelligent Systems at Trinity former head of Open Innovation at Mozilla College Dublin Ramez Naam Chris Matys Founder at Ignite AI and former venture capitalist, Energy & environment lecturer at Singularity University specializes in scaling AI ventures and award-winning science fiction author .

  17. Private sale opening in 10 days KYC, AML, Legal 16,000,001 ETH ≈ €10M €6M <> €50M Capped sale, but not capped tokens All in place

  18. I’m gonna have to Science the shit out of this! The Martian

  19. Get in touch! Anita Schjøll Brede iris.ai/aiur anita@iris.ai projectaiur twitnitnit theirisai telenitnit

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