The Trustworthy Artificial Intelligence Implementation (TAII) Framework Canvas is available on Miroverse now!
Management Perspective of Ethics in Artificial Intelligence published in Springer AI and Ethics Journal (ISSN: 2730-5961)
Trustworthy Artificial Intelligence Implementation - Introduction to the TAII Framework published at Springer in Business Guides on the Go
Organisations and companies need practical tools and guidelines to kick-off the implementation of Trustworthy Artificial Intelligence (TAI) Systems. The scientific research based TAII Framework takes a holistic approach to identify the systemic relationships of ethics for the company ecosystem and considers corporate values, business models, and common good aspects like the 17 Sustainable Development Goals and the Universal Declaration of Human Rights. The TAII Framework Canvas creates guidance to initiate the implementation of AI ethics in organisations without requiring a deep background in philosophy and considers the social impacts outside of a software and data engineering setting. Orgnizations and Universities do trust the TAII Framework.
Contact us for a first step towards an ethical system development.
Three different online | offline packages.
Course content: What is AI ethics? Values and norms. Ethical frameworks. Common good & well-being. Utilitarianism. Accountability. Transparency. Human rights. Data privacy. Safety & robustness. Bias. Fairness & non-discrimination. Ethics-washing. Guidelines & principles.
Request the Workshop Program for your AI ethics kickoff, including a certificate and exercises.
The AI Ethics Kickoff workshop guides from theory into doing the first steps for companies or institutions.
Trustworthy AI generates new opportunities to define the value creation and how to create, deliver and capture sustainable value for your business.
The TAII Framework generates a meta perspective on the systemic dependencies of ethics for the company ecosystem.
Innovation and implementation of AI technologies and services within the organization's core business model to strengthen the market position for the future.
SocialTechLab.eu has been founded by Josef Baker-Brunnbauer during his research work at the University of Graz, Austria in 2019. The findings showed the need for Trustworthy AI (TAI) for a societal understanding and acceptance. It also demonstrated the challenges for companies to tackle the implementation of TAI. SocialTechLab.eu consists of an interdisciplinary team that designs and drafts future social tech concepts & studies for companies in order to generate human-centered experience and sustainable social impact with AI products and services. The TAII Framework® for AI companies combines methodologies from interdisciplinary professions like computer science, innovation, psychology and sociology.
The assessment of the seven key requirements reflects and possibly adapts the design and development process of AI systems. Therefore, it generates a dispute with social implications and responsibilities to contribute and shape a good society.
Some machine learning techniques, although very successful from the accuracy point of view, are very opaque in terms of understanding how they make decisions. Non-trustworthy black-box AI systems refer to scenarios, where it is not possible to trace back to the reason for certain decisions.
Prepare and adapt the AI design and development process to simplify the implementation of governmental regulation and certification. Communicate the taken social responsibility and shape a role model within your industry.
New Business, IT- & Digitalisierungs-Guide: KI-Ethik-Workshops, February 2021
Artificial Intelligence EU Conference: AI Research Hub, March 2021
AI4EU Cafe: How to overcome the barrier to kickoff TAII, May 2021
PERFORM European Digital Retail Summit: TAII Framework, June 2021
DigitalCity.Wien: Digitale Montagsrunde, July 2021
Innovation Value Institute: Digital Retail Webinar, September 2021
AI Guild: Trustworthy AI, October 2021
ETAPAS: Disruptive Technologies, November 2021
European Commission: AI Alliance, December 2021
enliteAI: AI Landscape Austria, December 2021
Montreal AI Ethics Institute MAIEI: Applying the TAII Framework on Tesla Bot, February 2022
Montreal AI Ethics Institute MAIEI: How the TAII Framework Could Influence the Amazon’s Astro Home Robot Development, May 2022
SSRN: TAII Framework Applied to Metaverse and AI Development a Case for Cyber Ethics, June 2022
Medium: SocialTechLab.eu is working on ethics standards for Metaverse, July 2022
AI4Good Foundation: Building climate-and-community responsibility companies, September 2022
Springer: Trustworthy Artificial Intelligence Implementation, December 2022
enliteAI: AI Landscape Austria, December 2022
Date Intelligence Offensive, DIO: SocialTechLab.eu und TAII-Framework, January 2023
The Ethical AI Database, EAIDB: Collection of vetted, ethical AI companies, January 2023
New Business Magazine: Künstliche Intelligenz, February 2023, p.64
Miro: Miroverse - TAII Framework Canvas, April 2023
European Commission: TAII Framework Canvas, April 2023
Robonomics - The Journal of the Automated Economy: Book Review: TAII Framework, May 2023
The Ethical AI Database, EAIDB: Responsible AI Startup Ecosystem Map, July 2023
MOT University Klagenfurt: ULG Daten- und KI-Management, September 2023
MOT University Klagenfurt: Regulierung & Ethik im Spannungsfeld KI, October 2023
Contact us via eMail and receive updates via LinkedIn and Twitter.