Job Creation through Sustainable Investing Using Human-Centered AI: An Integral Approach

The COVID-19 pandemic has vividly demonstrated that humanity is not well prepared to address global challenges, particularly existential threats. This paper shows us how to restart the economy and ensure employment using an integral approach to sustainable investing in early stage start-ups using...

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Main Authors: Mariana Bozesan, Tom Kehler, Thomas Schulz
Format: Article
Language:English
Published: Risk Institute, Trieste- Geneva 2020-07-01
Series:Cadmus
Online Access:http://cadmusjournal.org/article/volume-4/issue-2-part-2/job-creation-through-sustainable-investing-using-human-centered-ai-i
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spelling doaj-e8f3ab53a28c4a5db3d15c8de3d030692020-11-25T03:10:34ZengRisk Institute, Trieste- GenevaCadmus2038-52422038-52502020-07-0142157171Job Creation through Sustainable Investing Using Human-Centered AI: An Integral ApproachMariana Bozesan0Tom Kehler1Thomas Schulz2Fellow, World Academy of Art & Science; Full member, Intl. Club of Rome; Founder; AQAL Foundation, GermanyFounder, CrowdSmart, Inc., USAFounder, AQAL Capital, GermanyThe COVID-19 pandemic has vividly demonstrated that humanity is not well prepared to address global challenges, particularly existential threats. This paper shows us how to restart the economy and ensure employment using an integral approach to sustainable investing in early stage start-ups using human-centered AI. As stimulus packages are being made available, the need for fast-tracked, digitized and scalable investment decisions for implementing the UN SDGs within Planetary Boundaries becomes an obligation. Based on three decades of investment track record and four years of AI application data, this paper shows how to identify the black swans of integral sustainability and how to significantly improve the de-risking processes through human-centered AI. This AI has proven that automation of the investment analysis and prediction process using collective intelligence and machine learning results in a successful prediction accuracy that is four times higher than current methods and scalable.http://cadmusjournal.org/article/volume-4/issue-2-part-2/job-creation-through-sustainable-investing-using-human-centered-ai-i
collection DOAJ
language English
format Article
sources DOAJ
author Mariana Bozesan
Tom Kehler
Thomas Schulz
spellingShingle Mariana Bozesan
Tom Kehler
Thomas Schulz
Job Creation through Sustainable Investing Using Human-Centered AI: An Integral Approach
Cadmus
author_facet Mariana Bozesan
Tom Kehler
Thomas Schulz
author_sort Mariana Bozesan
title Job Creation through Sustainable Investing Using Human-Centered AI: An Integral Approach
title_short Job Creation through Sustainable Investing Using Human-Centered AI: An Integral Approach
title_full Job Creation through Sustainable Investing Using Human-Centered AI: An Integral Approach
title_fullStr Job Creation through Sustainable Investing Using Human-Centered AI: An Integral Approach
title_full_unstemmed Job Creation through Sustainable Investing Using Human-Centered AI: An Integral Approach
title_sort job creation through sustainable investing using human-centered ai: an integral approach
publisher Risk Institute, Trieste- Geneva
series Cadmus
issn 2038-5242
2038-5250
publishDate 2020-07-01
description The COVID-19 pandemic has vividly demonstrated that humanity is not well prepared to address global challenges, particularly existential threats. This paper shows us how to restart the economy and ensure employment using an integral approach to sustainable investing in early stage start-ups using human-centered AI. As stimulus packages are being made available, the need for fast-tracked, digitized and scalable investment decisions for implementing the UN SDGs within Planetary Boundaries becomes an obligation. Based on three decades of investment track record and four years of AI application data, this paper shows how to identify the black swans of integral sustainability and how to significantly improve the de-risking processes through human-centered AI. This AI has proven that automation of the investment analysis and prediction process using collective intelligence and machine learning results in a successful prediction accuracy that is four times higher than current methods and scalable.
url http://cadmusjournal.org/article/volume-4/issue-2-part-2/job-creation-through-sustainable-investing-using-human-centered-ai-i
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