The roots of new economic crisis: Data-driven concentration
of inequality.
The remedy, data benefits fair distribution.
Telework Consortium Appeal:
Modern technologies can provide
wealth to all people, if we create inclusive mechanisms for participation of
data owners in the new economy value chain.
1. Disappearing Middle Class.
The history is the history of expropriation
of wealth by more powerful and ingenious groups. Nowadays, the IT and AI
automated and scaled this process.
The
impoverishment of 99% of the population is the inevitable trend of automation
and new business models, which are most pronounced in the case of Amazon. The
company that destroys jobs in retail has reached the point where it does not
pay tax on its huge profits!
The company, which produces nothing other than
distribution services, Amazon invests in information technology-related
development (for ingenious deception of users) more, than all the governments
of the world put together (if China is excluded) invest in AI and IT.
Zeitgeist.
The Zeitgeist number one is the trend of the new
economy and the sharing economy, which has arisen in connection with the
possibilities of information technology to diminish the prices. This magic is
possible thanks to processing of information accumulated over the entire
history of individual markets and people.
The inevitable consequence of the appropriation
of this information by corporations: a more efficient redistribution of wealth
in favor of technically advanced corporations.
This leads to a decrease in the living
standards of the middle class due to the deepening trends in the stratification
of society and the concentration of capital in hands of 1–2% of corporations.
Corporations thereby undermine their own economic base and lead to mega-crisis!
There is the first thesis of the Manifesto:
Modern technologies can provide
wealth to all people, if we create inclusive mechanisms for participation of
data owners in the new economy value chain.
Use case: DAYS.Exchange is the first data
owners’ empowering platform focused on creating the first AI-driven Health-Wealth sharing economy. DAYS
platform will provide free healthcare and prosperity to all active participants,
based on the efforts of each member of Health-Wealth app.
Section 2. Tipping point
in data-driven wealth redistribution.
Sharing economy arose as a temporary relief of
the fate of 99% of the world's population.
Corporations are accumulating capital by
replacing human workers by AI-driven systems. However, in doing so the corporations
serves as "its own grave-diggers"; the data owners inevitably will
become conscious of their own potential to claim on their rights over data,
which is the base of AI-system.
The continuation of current trends will lead to
the situation where the effective demand will drop to zero as far as AI is
implemented everywhere and all is automated. Where will the 99% of the
population get money from?
The answer was proposed at World Economic Forum 2019 by Paolo Sironi, in his new
book “Financial Markets Transparency”. . “Financial Market Transparency” theory
is about how to generate value for clients, society, the planet with ethical
principles for bankers, fintech startups.
Based on this theory for the new economy,
Edward DAYS developed Health-Wealth concept.
Health-Wealth concept: sharing
economy 2.0.
The individualist mindset won’t make you
wealthy in the new economy, where connections and mutual trust matters.
Economy 2.0 means greater date relatedness,
with proactive participation of date owners in its processing. This implies
various forms of rewarding date owners. For example, in the form of
recommendations on health and safety.
The main benefit for HW app users is DAYS
subsidizing insurance premiums for users with high HW Index. DAYS app
incentivize people to be included in the activities of highly skilled teams who
come together and change the world, starting with health improving predictive
and preventive medicine.
DAYS members will participate in distribution
of the outcomes from Uberization of healthcare, where 80% of cost are related
to services, low efficient for now. Three types of motivation embedded into
application will make users and clients more healthy, engaged and wealthy,
since insurance companies will provide them with special plans, based on
transparent data of their health conditions.
Thesis number 2: the
personal data belong to persons, not corporations.
Therefore, people are
entitled to a portion of the wealth created by their information.
Section 3. New profession
of faith: data miner.
PwC, the professional services
company, has estimated that AI could be worth $15.8 trillion in
increased global GDP by 2030.
Thesis number 3:
empowering people with the
rights to the benefits of using their information will create an unprecedented
abundance. This will be the source of capital for the realization of the first
thesis.
In the AI domain, a multitude of use cases requires
partnering between data owners, data operators and established companies. In a
recent survey of 1075 companies across 12 industries, researchers H. James
Wilson and Paul R. Daugherty (authors of the book Human + Machine:
Reimagining Work in the Age of AI, Harvard Business Review Press,
2018) found that the better companies were able to redesign business processes,
embrace employee involvement, have an active AI strategy, responsibly collect
data, and incorporate AI to complement employee skills.
Artificial Intelligence Platforms including API.AI, Ayasdi, Google
Cloud Prediction API, Infosys Mana, Kaggle.
There are several reasons why collaboration
between users and companies is the best option, not only for both parties – but
for the economy as a whole. Firstly, the technology develops amazingly fast.
Therefore, in non-competitive use cases, technology from start-ups which supply
many companies tend to perform better than a stand-alone solution for one
specific application in one company.
DAYS sharing
platform offers opportunities for participants of other sharing economies
(Uber, WeWork).
The DAYS mobile app motivates users to engage
in the partners’ events and to the commitment to a healthy lifestyle.
The leader of DAYS Consortium in development of
Health-Wealth AI-driven platform is Ron Ribitzky, former Intel’s Senior
Strategist. He used to develop a resembling platform 14 years ago.
Final scope is to provide DAYS contributors
with a personal psychology and health coach, mentor. Sort of Emotional AI
pictured by DAYS friend Omar Fogliadini.
https://www.slideshare.net/OmarFogliadini/emotional-ai-for-meaningful-conversations-with-customers
Problems are the
solutions!
Some of the world’s greatest minds, like
Stephen Hawking, Elon Musk, Steve Wozniak signed an open letter, warning
against artificial intelligence used. Even Bill Gates and a lot of AI
luminaries are warning about the dangers of the AI
The solution is to empower people to claim over
their data. To claim for this power, we launch an appeal:
Users of all social
networks, unite!
·
The
authors of the Manifesto have outlining a set of short-term demands—among them:
·
a collective
claim of users for their data by creation of Trade unions of the Social
networks users;
·
abolition
of Social media companies property over their users data;
·
supporting
initiatives of protection of children, including protection of their
future;
·
free
education on digital instruments initiatives;
·
protection
of personal data and communication;
·
centralisation
of data sharing;
·
expansion
of sharing economy 2.0., where people get inclusive position in value chains.
Final note.
We believe that sharing this information is our
obligation. Using parts of our Manifesto as part of your presentation, talk or
your work is allowed and encouraged as long as you always use visual
representation and reference us appropriately.
Changes
to our mindset have to be marked as public discussion on taking your own data
under control will progress.
The content of this insight is published under
CC-BY 4.0.
