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

Iris.ai is helping

Information overload Built-in bias Reproducibility issues Access issues Incentives

Iris.ai 4.0 works with the researcher

Explore Focus

Bypass human made taxonomies to get a fresh perspective and broad overview

• f the problem.

Narrow down to exact reading list without reading a single paper.

Start

Define a problem statement to solve in 300 words. Draw conclusions based on highly relevant papers.

Result

IRIS.AI 4.0

• 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

We’re doing well!

Buuuuut…

Information overload Built-in bias Reproducibility issues Access issues Incentives

Introducing Project Aiur and blockchain

Aiur is entirely community owned

New incentive model

Through creating the AIUR token

Knowledge Validation Engine

Semi-automating quality review

Validated repository

Open, validated and accessible

Why blockchain and a token?

New economic model

can be designed from scratch

Communal property

All members own it (DAO)

Pseudonymity

Equal opportunity, equal scrutiny,

Two sided marketplace without set prices

The incentive model

Earn tokens

• AI Training
• Coding
• Quality Assurance
• Publishing
• Peer reviewing

Spend tokens

• Iris.ai premium tools
• Directly to the Aiur engine
• In 3rd party services
• Building 3rd party services

The Knowledge Validation engine

“Semi-automated peer review”

paper hypothesis report hypothesis extraction argument mining ‘truth tree’ each assumption validated trust level of each hypothesis

Time line: 4 years

• Failed results
• Parallell publishing
• Open access
• Peer reviewed
• Ongoing review
• Integration, collaboration

The Validated Repository

Governance

Iris.ai is the initiator, not owner

1% ownership cap

Iris.ai burns down within 18mo

75% of funds to community

Token sale (ICO) in late May

Community decisions

All members has voting power

So… people make money on tokens?

Technology

The Aiur KVE will be a powerful tool

Repository

A unique, growing, living body of knowledge

3rd party tools

Funnels corporate money in to the ecosystem

The token is functional but there is value potential

• The Knowledge Validation Engine
• Strategic revenues
• First mover advantage

But why are you doing it, again? … and most important IMPACT.

Founding team from Singularity University

Anita Schjøll Brede CEO Has built several high- tech startups

SingularityU GSP15 Chalmers, MSc Entrepreneurship HiOA, BA Theatre Stanford & UC Berkeley SingularityU Denmark Faculty 4 high-tech startups

Victor Botev CTO Has done AI research & built products

Chalmers, MSc Computer Science Sofia, MSc Artificial Intelligence Skrill cPac Chalmers

Jacobo Elosua CFO Has secured billion dollar deals

SingularityU GSP15 ICADE, MA int’l business administration, BA law, BA economics UBS Investment Bank Civio

Maria Ritola CMO Has created global communities

SingularityU GSP15 HSE, MA Economics ESCP-EAP Paris UN Bank of Finland Demos Helsinki

I’m gonna have to

Science

the shit

• ut of this!

The Martian