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 Schjøll Brede CEO Has built several high- tech startups Victor Botev CTO Has done AI research & built products Jacobo Elosua CFO Has secured billion dollar deals Maria Ritola CMO Has created global communities

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

+30%

Fewer misses

Iris.ai tool results

Time reduction

• 90%

Interdisciplinarity

• 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

Aiur is entirely community owned

Knowledge Validation Engine

Semi-automating quality review

Validated repository

Open, validated and accessible

New incentive model

Through creating the AIUR token

Why blockchain and a token?

New economic model

can be designed from scratch

Two sided marketplace without set prices

Communal property

All members own it (DAO)

Pseudonymity

Equal opportunity, equal scrutiny

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
• Parallel publishing
• Open access
• Peer reviewed
• Ongoing review
• ++

The Validated Repository

Governance

Iris.ai is the initiator, not owner

75% of funds to community

Token sale opens May

Community decisions

All members has voting power

2% ownership cap

Iris.ai redistributes within 18mo

So… people make money on tokens, right?

The token is functional but there is value potential

Repository

A unique, growing, living body of knowledge

Technology

The Aiur KVE will be a powerful tool

3rd party tools

Funnels corporate money in to the ecosystem

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

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

Meet our amazing advisors

Pascal Finette

Chair of Entrepreneurship at Singularity University former head of Open Innovation at Mozilla

Peter Suber

Philosopher specializing in the philosophy of law and

• pen access to knowledge

Petr Knoth

Senior Research Fellow in Text and Data Mining at the Knowledge Media Institute, founder of CORE

Amit Pradhan

Founder and President of the Silicon Valley Blockchain Society & Founder at Zero AI

Söenke Bartling

Associated researcher in blockchain for science at Alexander von Humboldt Institute for Internet and Society

Joeran Beel

Assistant Professor in Intelligent Systems at Trinity College Dublin

Ramez Naam

Energy & environment lecturer at Singularity University and award-winning science fiction author.

Chris Matys

Founder at Ignite AI and former venture capitalist, specializes in scaling AI ventures

Private sale opening in 10 days

KYC, AML, Legal

All in place

ETH ≈ €10M

€6M <> €50M

16,000,001

Capped sale, but not capped tokens

I’m gonna have to

Science

the shit

• ut of this!

The Martian

Get in touch!

Anita Schjøll Brede

telenitnit twitnitnit anita@iris.ai theirisai projectaiur iris.ai/aiur