Creating Value with Artificial Intelligence: A Multi-stakeholder Perspective

2020 ◽  
Vol 6 (1) ◽  
pp. 72-85
Author(s):  
H. Güngör
Keyword(s):  
Artificial Intelligence ◽  
Value Creation ◽  
Business Strategy ◽  
Perceived Value ◽  
Business Professionals ◽  
Perceived Risks ◽  
Stakeholder Perspective ◽  
European Business ◽  
Multi Stakeholder ◽  
High Level

This article provides a brief overview of artificial intelligence (AI), and its perceived value-creation potential as well as its perceived risks from a multi-stakeholder perspective. It also draws some guidelines for exploring a high-level AI business strategy by taking a multi-stakeholder perspective into consideration, i.e., shareholders, customers, employees, suppliers and society. A short survey among European business professionals reveals a perception that AI serves mainly financial purposes and is perceived predominantly as creating value for shareholders and customers, while employees and society are perceived as negatively impacted stakeholders.

Artificial intelligence and mass personalization of communication content—An ethical and literacy perspective

2021 ◽  
pp. 146144482110227
Author(s):  
Erik Hermann
Keyword(s):  
Artificial Intelligence ◽  
Conceptual Analysis ◽  
Need Satisfaction ◽  
Ethical Challenges ◽  
Social Good ◽  
Communication Content ◽  
Basic Understanding ◽  
Stakeholder Perspective ◽  
Multi Stakeholder ◽  
Mass Personalization

Artificial intelligence (AI) is (re)shaping communication and contributes to (commercial and informational) need satisfaction by means of mass personalization. However, the substantial personalization and targeting opportunities do not come without ethical challenges. Following an AI-for-social-good perspective, the authors systematically scrutinize the ethical challenges of deploying AI for mass personalization of communication content from a multi-stakeholder perspective. The conceptual analysis reveals interdependencies and tensions between ethical principles, which advocate the need of a basic understanding of AI inputs, functioning, agency, and outcomes. By this form of AI literacy, individuals could be empowered to interact with and treat mass-personalized content in a way that promotes individual and social good while preventing harm.

scholarly journals Actionable Principles for Artificial Intelligence Policy: Three Pathways

2021 ◽  
Vol 27 (1) ◽  
Author(s):  
Charlotte Stix
Keyword(s):  
Artificial Intelligence ◽  
Development Process ◽  
Stakeholder Participation ◽  
Expert Group ◽  
Governmental Policy ◽  
Ai Ethics ◽  
Ethics Guidelines ◽  
Multi Stakeholder ◽  
High Level

AbstractIn the development of governmental policy for artificial intelligence (AI) that is informed by ethics, one avenue currently pursued is that of drawing on “AI Ethics Principles”. However, these AI Ethics Principles often fail to be actioned in governmental policy. This paper proposes a novel framework for the development of ‘Actionable Principles for AI’. The approach acknowledges the relevance of AI Ethics Principles and homes in on methodological elements to increase their practical implementability in policy processes. As a case study, elements are extracted from the development process of the Ethics Guidelines for Trustworthy AI of the European Commission’s “High Level Expert Group on AI”. Subsequently, these elements are expanded on and evaluated in light of their ability to contribute to a prototype framework for the development of 'Actionable Principles for AI'. The paper proposes the following three propositions for the formation of such a prototype framework: (1) preliminary landscape assessments; (2) multi-stakeholder participation and cross-sectoral feedback; and, (3) mechanisms to support implementation and operationalizability.

scholarly journals Competitive strategies of differentiation and cost minimization

Upravlenie ◽  
2019 ◽  
Vol 7 (3) ◽  
pp. 75-83
Author(s):  
O. Mikhailov
Keyword(s):  
Product Differentiation ◽  
Business Strategy ◽  
Global Economy ◽  
Cost Minimization ◽  
Synergetic Effect ◽  
Perceived Value ◽  
Successful Implementation ◽  
Competitive Strategies ◽  
Product Introduction ◽  
High Level

The strategies of differentiation and cost minimization are oriented on reception of competitive advances in the broad range of industries/branches, that allows companies to achieve effective exceed in the industry-average indicators. Using the both strategies can bring the synergetic effect in competition of the subjects and objects. These strategies can reinforce each other and the competitive advances of the company. Strategies of cost minimization and differentiation can coexist and compete. Cost leadership strategy focuses on getting advantages by reducing cost below analogies of all competitors. It is unsufficient the single of cost minimization in the international competing, it is necessary the complex and creative decision of the compound problems, associated with differentiation of products and services.Product differentiation is a business strategy, whereby firms attempt to gain a competitive advantage by increasing the perceived value of their products/services relative to perceived value the other products/services firms; with recording dissatisfied inquiring the customers. Especially distinctive characteristics, properties, attributes of products or services can be one or more-the main thing that they were really important, more useful and valuable for buyers. The differentiation can create on the basis the timing of product introduction, product customization, the best joining the product and services or simultaneously combination of these advantages. Product differentiation is ultimately an expression of the creativity of individuals and groups within the firm. It is limited not only by opportunities, than exist, or than can be created, in particular industry, but by the willingness and ability of firms to creatively explore ways to take advantage of those opportunities.The willingness of consumers to pay more suggests, that important perceptual bases of product differentiation exist. Successful implementation of these strategies can increase consumer sensations/perceptions of the greater value of products/ services and contribute to the expansion of their exports and strengthen the competitiveness of the company in the global economy. The ideal strategy-building process is to achieve a high level of commitment of employees and consumers around a high-quality strategy and the best ways to implement it.

scholarly journals Leveraging Artificial Intelligence in Marketing for Social Good—An Ethical Perspective

2021 ◽  
Author(s):  
Erik Hermann
Keyword(s):  
Artificial Intelligence ◽  
Well Being ◽  
Ethical Principles ◽  
Ethical Challenges ◽  
Ethical Perspective ◽  
Social Good ◽  
Stakeholder Perspective ◽  
Ai Ethics ◽  
Multi Stakeholder ◽  
Shed Light

AbstractArtificial intelligence (AI) is (re)shaping strategy, activities, interactions, and relationships in business and specifically in marketing. The drawback of the substantial opportunities AI systems and applications (will) provide in marketing are ethical controversies. Building on the literature on AI ethics, the authors systematically scrutinize the ethical challenges of deploying AI in marketing from a multi-stakeholder perspective. By revealing interdependencies and tensions between ethical principles, the authors shed light on the applicability of a purely principled, deontological approach to AI ethics in marketing. To reconcile some of these tensions and account for the AI-for-social-good perspective, the authors make suggestions of how AI in marketing can be leveraged to promote societal and environmental well-being.

BAPA+40: South African and African Lessons

2020 ◽  
Vol 35 ◽  
Author(s):  
Arina Alexandra Muresan
Keyword(s):  
South African ◽  
Buenos Aires ◽  
Monitoring And Evaluation ◽  
Global South ◽  
Communications Systems ◽  
Transfer Of Technology ◽  
Peace And Security ◽  
Multi Stakeholder ◽  
High Level ◽  
Made In

The Second High-Level United Nations (UN) Conference on South-South Cooperation (also known as BAPA+40), held in Buenos Aires, Argentina, from 20 to 22 March 2019, promised to reinvigorate efforts to further achieve and implement South-South cooperation (SSC). Forty years on, the Global South is shaping its image as a solutions provider. Immense strides have been made in improving access to allow a multitude of state and non-state actors to cooperate, while broadening and deepening modes of cooperation and facilitating the exchange of knowledge and transfer of technology, thus moving beyond the simplistic view that developing countries require aid to function and move forward. However, noting these symbolic strides, the Global South should move forward by building understanding of monitoring and evaluation (M&E) frameworks; integrating multi-stakeholder models; improving the visibility of peace and security in South-South programming; and building effective communications systems.

Intellectual Capital: Who Counts, Controls?

2004 ◽  
Vol 4 (1) ◽  
pp. 1-23 ◽  
Author(s):  
Robin Roslender ◽  
Robin Fincham
Keyword(s):  
Intellectual Capital ◽  
Value Creation ◽  
Business Strategy ◽  
Research Agenda ◽  
Effective Means ◽  
Management Research ◽  
Successful Management

Intellectual capital and related topics including intangibles, innovation, and knowledge have rapidly climbed the management research agenda. Their significance lies in the contribution these assets make to sustained value creation, a central mantra within contemporary business strategy. A premium has been placed on the successful management of such assets, and within this program, the accountancy profession has found itself challenged to devise effective means of counting and controlling them. Driven by a distinctly managerial agenda, the majority of developments within intellectual capital accounting to date have exhibited the negative characteristics that critical accounting researchers associate with the extension of the prevailing accounting calculus into new fields. Nevertheless, in some recent contributions there are indications of how an alternative, more progressive approach, that of intellectual capital self-accounts, might be fashioned. As a consequence, the emergence of intellectual capital may yet provide an opportunity to return to the task of accounting for labor. This aspect of the critical accounting project has become less evident as researchers seeking to promote enabling accounting have directed their focus on a range of “other voices” to be encouraged to tell their own stories “from below.”

Europe

2020 ◽  
pp. 649-666
Author(s):  
Andrea Renda
Keyword(s):  
Artificial Intelligence ◽  
Digital Technology ◽  
Policy Framework ◽  
Expert Group ◽  
Ethical Guidelines ◽  
Ethical Implications ◽  
Strong Focus ◽  
Ethics Guidelines ◽  
Definition Of ◽  
High Level

This chapter assesses Europe’s efforts in developing a full-fledged strategy on the human and ethical implications of artificial intelligence (AI). The strong focus on ethics in the European Union’s AI strategy should be seen in the context of an overall strategy that aims at protecting citizens and civil society from abuses of digital technology but also as part of a competitiveness-oriented strategy aimed at raising the standards for access to Europe’s wealthy Single Market. In this context, one of the most peculiar steps in the European Union’s strategy was the creation of an independent High-Level Expert Group on AI (AI HLEG), accompanied by the launch of an AI Alliance, which quickly attracted several hundred participants. The AI HLEG, a multistakeholder group including fifty-two experts, was tasked with the definition of Ethics Guidelines as well as with the formulation of “Policy and Investment Recommendations.” With the advice of the AI HLEG, the European Commission put forward ethical guidelines for Trustworthy AI—which are now paving the way for a comprehensive, risk-based policy framework.

scholarly journals Artificial Intelligence in Education (AIEd): a high-level academic and industry note 2021

AI and Ethics ◽  
2021 ◽  
Author(s):  
Muhammad Ali Chaudhry ◽  
Emre Kazim
Keyword(s):  
Artificial Intelligence ◽  
Intelligent Tutoring Systems ◽  
Policy Makers ◽  
Tutoring Systems ◽  
Research And Practice ◽  
The Past ◽  
Artificial Intelligence In Education ◽  
Potential Impact ◽  
High Level ◽  
Contextualized Learning

AbstractIn the past few decades, technology has completely transformed the world around us. Indeed, experts believe that the next big digital transformation in how we live, communicate, work, trade and learn will be driven by Artificial Intelligence (AI) [83]. This paper presents a high-level industrial and academic overview of AI in Education (AIEd). It presents the focus of latest research in AIEd on reducing teachers’ workload, contextualized learning for students, revolutionizing assessments and developments in intelligent tutoring systems. It also discusses the ethical dimension of AIEd and the potential impact of the Covid-19 pandemic on the future of AIEd’s research and practice. The intended readership of this article is policy makers and institutional leaders who are looking for an introductory state of play in AIEd.

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