According to an article in the
MIT Technology Review, the United States government has recently unveiled a plan to first encourage, and eventually enforce that technology companies must respect the privacy and rights of users against Artificial Intelligence (AI) and algorithms that may utilize abusive data practices. While many are concerned about safety and privacy concerns around artificial intelligence, many experts in this field see the massive potential for societal improvements, including Prof. Vassileva, editor of
Responsible AI and Ethical Issues for Businesses and Governments.
"AI is a powerful technology that is transforming our societies. It also has the potential to cause serious harm, which often disproportionately affects minorities. Facial recognition technologies used in policing and algorithms that allocate benefits are not as accurate for ethnic minorities, for example. "
-Melissa Heikkilä, MIT Technology Review
Responsible AI and Ethical Issues for Businesses and Governments explains how AI tools and techniques (machine learning, data mining, advanced analytics, neural networks) are evolving in a high speed. It recognizes the incredible difficulty for the practitioners and even for the researchers to keep an eye on the latest developments in the AI area especially from the applied perspective, especially the application of AI technology in science and industry. Following the rise of AI from technological perspective the ethical issues of AI application in different industry sectors and life aspects are gaining increased attention. Expanding development of artificial intelligence poses a myriad of questions regarding the responsible AI development (in terms of AI methods and applications) and its implementation. The prevailing notion is that AI should be accountable, explainable, transparent, and fair for all organizations and individuals.
| | Responsible AI and Ethical Issues for Businesses and Governments | Profs. Bistra Vassileva (University of Economics, Varna, Bulgaria) and Moti Zwilling (Ariel University, Israel)
©2021 | 259 pgs. | EISBN13: 9781799842866 | - Covers Topics such as Ethical AI, Digital Literacy, & Human and AI Interaction
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Prof. Bistra Vassileva explains her views on how this governmental protection, while it highlights some of the areas of AI that we should all rightly be cautious of, still understates the power that AI holds to potentially improve people's lives when used ethically.
"Following the rise of AI from technological perspective the ethical issues of AI application in different industry sectors and life aspects are gaining increased attention. Expanding development of artificial intelligence poses a myriad of questions regarding the responsible AI development (in terms of AI methods and applications) and its implementation. The prevailing notion is that AI should be accountable, explainable, transparent, and fair for all organizations and individuals.
The evolution of AI bursts with contradictions. AI possesses a huge potential to improve human lives, and, at the same time, it could widen the social and digital divides. In order to utilize its positive potential and to minimize the threats, it is critical to involve people (experts, scientists, policy makers, funders and investors, etc.) with various background and organizations from different industries to build a solid background of common language and shared understanding of AI capabilities and risks to guide all stakeholders to positive impacts. A broader engagement of civil society on the values that need to be embedded in AI and the directions for future development are also needed. The key to success is to balance the transformational potential of AI with human safety and privacy.
"The evolution of AI bursts with contradictions. AI possesses a huge potential to improve human lives, and, at the same time, it could widen the social and digital divides. In order to utilize its positive potential and to minimize the threats, it is critical to involve people (experts, scientists, policy makers, funders and investors, etc.)"
- Prof. Vassileva, University of Economics, Varna, Bulgaria
Despite the increasing adoption of AI tools and applications there are still some limitations which are purely technical, practical limitations and limitations in use. Future research directions will focus these general limitations. Regarding responsible AI, future research areas should cover the following topics: bias, transparency, and fairness in AI algorithms; responsible AI operationalization, geopolitical impacts of AI.
The AI benefits are obvious but there are certain societal risks related to the diffusion of AI technologies in products and services which requires an open debate about AI governance. The main focus should be placed on developing an internationally recognised ethical and legal framework for the design, production and application of AI. This framework should be based on common AI principles and should provide a roadmap for protecting humanity by responsible uses of AI technologies. Unless AI is still at a relatively early stage of development and large scale industrial applications are yet to be developed, the societal challenges of AI applications should be explored and prioritized especially within the context of the AI ecosystem."
– Prof. Bistra Vassileva, University of Economics-Varna
Books with Contributions from Prof. Vassileva
About The Editor
Prof. Bistra Vassileva, PhD, works as Professor of Marketing at the University of Economics–Varna, Bulgaria. She graduated as Master of Science of Commodities. Since 1992 she is lecturing and consulting in the field of Marketing Research, International Marketing, Marketing Communications, TQM, Marketing Management. Dr. Vassileva was a visiting professor in Portugal, France, Germany, Spain, UK and a guest lecturer in Belgium. She implemented more than 15 international and national projects of different donors. During the last few years she took part in EU funded projects for various research issues and problems as an expert. She was a Marie Currie fellowship holder as a Senior researcher in 2007-2008 in Lodz, Poland. As a Director of the Centre for Innovation and Development at the University of Economics-Varna she is responsible for the organization of research and ICT projects with different scope. Member of CIM, ESOMAR and EMAC. Her scientific interests are focused on nonlinear dynamics and network theory in the field of marketing, marketing analytics and digital marketing.
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