Responsible artificial intelligence: challenge for sustainable management
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| Format: | Buch |
| Sprache: | Englisch |
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Cham
Springer
[2023]
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| Schriftenreihe: | CSR, Sustainability, Ethics & Governance
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| Links: | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=034093153&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
| Umfang: | xv, 294 Seiten Illustrationen |
| ISBN: | 9783031092442 |
Internformat
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Datensatz im Suchindex
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| adam_text | Contents Artificial Intelligence: Management Challenges and Responsibility.... Reinhard Altenburger 1 Challenges and Prospects of Artificial Intelligence..................................... 2 The Impact on Managerial Decision-Making............................................... 3 Impact of AI on Corporate Strategy and Organization................................ 4 Management Responsibility and Ethical Implications................................. References............................................................................................................... Artificial Intelligence: Companion to a New Human “Measure”?............ René Schmidpeter and Christophe Funk 1 Artificial Intelligence Changes Our Society and Economy......................... 2 Critical Discussions Require New Perspectives........................................... 3 Opportunities of Artificial Intelligence in a Sustainable Transformation................................................................................................. 4 Further Development of CorporateSocial Responsibility............................ 5 Visionary Entrepreneurs Rely on AI Business Models with Positive Impact......................................................................................................... 13 References.............................................................................................................. AI Governance for a Prosperous Future........................................................ Alexander Vocelka 1
Introduction....................................................................................................... 2 Artificial Intelligence Is the Quintessence of the Fourth Industrial Revolution.................................................................................................. 20 2.1 From Intelligence to Productivity....................................................... 2.2 The Value of AI................................................................................... 2.3 AI Working for Us............................................................................... 3 Utopia or Dystopia: Where ThereIs Light, There Is also Shadow.............. 3.1 How to Guide the Emergence of AI............................. 3.2 CSR as Beneficial AI Facilitator......................................................... 1 2 3 4 6 7 9 9 10 11 12 14 17 18 20 24 24 25 28 29 ix
x Contents All AI Is Not the Same.................................................................................... 4.1 From Edge AI to General AI................................................................ 4.2 The AI Productivity vs. Complexity Paradox..................................... 5 Application and CSR Challenges of AI in Companies................................ 5.1 AI Paralysis............................................................................................ 5.2 AI Action................................................................................................ 5.3 Corporate AI Hierarchies..................................................................... 5.4 AI Roles in theOrganization................................................................. 5.5 From Worker to Trainer and Coach................................................... 5.6 AI Collaboration.................................................................................... 5.7 Cyber Risks for Cyber Organisms....................................................... 6 Expanding the CSR Model............................................................................. 6.1 Classic Pyramidal CSR Models........................................................... 6.2 Expanding the CSR Model................................................................... 6.3 A Systemic CSR Model........................................................................ 6.4 Cultural Flavours of CSR..................................................................... 6.5 Global Differences in AI
Perception.................................................... 6.6 No Unified Global CSR........................................................................ 7 The Digital Governance Framework.............................................................. 8 Embedding AI Governance in the CSR Model............................................ 8.1 Digital and AI Governance: Structure and Transparency................. 8.2 Data Governance: For Good AI.......................................................... 8.3 Trusted AI: Through Transparency.................................................... 8.4 Ethical Ais: Lie to Be Loved.............................................................. 9 AI Governance................................................................................................. 9.1 AI Lifetime Care................................................................................. 9.2 AI Decision Governance.................................................................... 9.3 AI Risk Control................................................................................... 9.4 Dealing with Corrupted AI................................................................. 9.5 Asimov’s Laws Revisited................................................................... 9.6 Controlling Ais Through Software Rules......................................... 9.7 AI Cybersecurity................................................................................. 10 Artificial Intelligence in the Legal Context................................................... 10.1 Ownership
Obliges.............................................................................. 10.2 Introduction of an ‘Electronic Person’ as an Opportunity............... 10.3 Accountability of Electronic Persons: Death and Taxes.................. 10.4 Limits to AI Liability.......................................................................... 11 CSR as AI Change Enabler............................................................................ 11.1 Cycle of AI Acceptance...................................................................... 12 Outlook............................................................................................................. 12.1 The Great Resignation........................................................................ 12.2 AI to the Fore....................................................................................... 12.3 AI as a Companion.............................................................................. 12.4 Closer to AI.......................................................................................... 12.5 CSR’s Role with AI............................................................................ 4 30 30 34 35 36 37 38 39 41 42 45 45 45 46 47 48 50 52 53 55 56 56 57 59 64 64 67 68 72 73 74 75 76 77 78 79 80 81 82 85 85 86 86 87 88
Contents Governance of Collaborative AI Development Strategies........................... Sabine Wiesmiiller and Mathias Bauer 1 Introduction to Collaborative AI Development............................................ 1.1 Relevance of AI Adoption for Companies........................................ 1.2 Theoretical Background: Strategic Forms of AI Adoption............. 1.3 Research Gap for Collaborative AI Development............................ 1.4 Governance of Collaborative AI Development................................. 1.5 Collaboration Opportunities in the AI Development Process. ... 2 Collaboration Opportunities in AI Development......................................... 2.1 Opportunities in the Data Preparation Phase.................................... 2.2 Opportunities in AI Model Development......................................... 2.3 Opportunities in Model Evaluation and Deployment...................... 3 Governance of Risks in Collaborative AI Development............................. 4 Implications, Discussion, and Outlook.......................................................... 4.1 Implications for Practice...................................................................... 4.2 Limitations and Further Research....................................................... 4.3 Conclusion and Outlook...................................................................... References.............................................................................................................. xi 91 91 91 92 93 94 95 97 97 99 102 103 105 105 105 106 106 Responsible AI
Adoption Through Private-Sector Governance................ Ill Sabine Wiesmiiller, Nele Fischer, Wenzel Mehnert, and Sabine Ammon 1 Relevance and Research Gap......................................................................... Ill 2 A Model for Responsible AI Adoption from a Private-Sector Governance Perspective........................................................................... 114 2.1 AI Adoption as Part of an Organisation’s Innovation Process .... 116 2.2 Specifying the Innovation Process Model for AI Adoption............. 118 2.3 Integrating Ethics with a Governance Model for Responsible AI Adoption................................................................................... 120 3 Insights into the Operationalisation of Responsible AI Adoption.............. 124 3.1 Action Point 1: Creating Ethical Visions.......................................... 124 3.2 Action Point 2: Use Case Testing for Long-Term Societal Implications.............................................................................. 125 3.3 Action Point 3: Iteratively Integrating Societal Perspectives.......... 126 4 Implications, Discussion, and Further Research.......................................... 127 References.............................................................................................................. 128 Mastering Trustful Artificial Intelligence....................................................... Helmut Leopold 1 Artificial Intelligence: An Introduction......................................................... 1.1 Development of AI
Research.............................................................. 1.2 AI Made in Austria. ............................................................................. 1.3 Artificial Intelligence Needs Powerful Hardware.............................. 1.4 Forms of Artificial Intelligence: From Rule-Based Systems to Neural Networks.................................................................. 138 1.5 Machine Learning................................................................................. 133 133 133 135 137 138
xii Contents 2 Five AI Challenges........................................................................................... 140 2.1 Modelability........................................................................................... 141 2.2 Verifiability............................................................................................ 143 2.3 Explainability......................................................................................... 144 2.4 Ethics and Moral.................................................................................... 145 2.5 Responsibility........................................................................................ 147 3 Social Threat Potential from AI...................................................................... 148 3.1 Democratization of Technology........................................................... 148 3.2 Manipulation of Media......................................................................... 148 4 Limits of AI and Diversity of Life................................................................. 150 4.1 Singularity: Can AI Surpass Humanity? ............................................. 150 4.2 AI Needs a Lot More Intelligence....................................................... 150 4.3 Life Is Nonlinear.................................................................................... 151 4.4 Life Is Not Just About Solving Problems........................................... 151 4.5 The Data World of AI Is Not Life....................................................... 152 4.6 AI and
Morals......................................................................................... 152 5 Conclusions....................................................................................................... 153 5.1 Education and Emotional Intelligence to Master the Technology................................................................................ 153 5.2 Responsibility for the Development of Technology......................... 153 5.3 AI Needs Standardization.................................................................... 154 5.4 A Broader Approach to AI Research................................................. 154 References............................................................................................................... 155 Technology Serves People: Democratising Analytics and AI in the BMW Production System................................................................................... 159 Matthias Schindler and Frederik Schmihing 1 Digitalisation and Production: A Complex and Dynamic Environment............................................................................................... 159 2 Status Quo........................................................................................................ 161 2.1 Quality Work in Production: A Critical Review.............................. 161 2.2 Quality Work: QuoVadis?................................................................... 163 3 CSR in Visual Analytics andArtificial Intelligence...................................... 166 3.1 How Does the Use of Data Analytics and AI
Change Corporate Responsibility?.......................................................................... 166 3.2 How Does the BMW Group Deal with the Consequences and Possibilities of AI? How Are the Potential Risks Dealt with, and What Are the Possible Solutions?.......................................... 169 3.3 What Does AI Mean for the Company’s (Global) Value Creation and Strategy and How Does It Change the Company’s Social Responsibility?......................................................................... 171 3.4 Which Cooperation Is Required and How Are the Different Approaches to Responsibility and Sustainability Dealt with? .... 172 3.5 What Challenges Do Data Analytics and Artificial Intelligence Pose for Managers at All Levels in Production?.................. 174
Contents 4 Conclusion....................................................................................................... References.............................................................................................................. xiii 176 179 Sustainability and Artificial Intelligence in the Context of a Corporate Startup Program.................................................................................................. 183 Frank Barz, Hans Elstner, and Benedict Ilg 1 TechBoost, a Startup Program Designed to Drive Sustainability Through Innovation in an B2B Environment........................................ 183 2 Flip App: Sustainability in Collaboration Using a Messenger App........... 184 2.1 How Can the Flip App Drive Sustainability with Digitization and Artificial Intelligence....................................................... 186 2.2 What Kind of Ethical Principles Has Flip Adapted into Their Software Development............................................................ 187 2.3 How Does the Partnership with a Corporate Supports the Sustainability Strategy of Flip................................................ 188 2.4 Future Developments at Flip App...................................................... 188 3 rooom.com: How the Metaverse Is Driving Sustainability with Digitization and AI................................................................................... 190 3.1 How the rooom Software Supports Sustainable Principles............. 191 3.2 Sustainability and Responsibility in the Metaverse.......................... 192 3.3
Virtual Events in the Metaverse......................................................... 193 4 Outlook............................................................................................................. 194 Exploring AI with Purpose................................................................................ Benno Blumoser 197 Developing Responsible AI Business Model................................................... 205 Sundaraparipurnan Narayanan 1 Setting the Context......................................................................................... 205 2 Understanding the Current Ecosystem of Responsible AI.......................... 206 2.1 Regulatory Ecosystem......................................................................... 206 2.2 Research Ecosystem............................................................................. 207 2.3 Business Ecosystem............................................................................. 209 3 Stages of Responsible AI Maturity................................................................ 209 4 Responsible AI Business Model.................................................................... 211 4.1 Principles............................................................................................... 211 4.2 Pillars..................................................................................................... 212 4.3 Business Model.................................................................................... 212 4.4 Steps Toward ResponsibleAI
Business.............................................. 215 5 Convergence of Social Responsibility.......................................................... 217 ESG Fingerprint: How Big Data and Artificial Intelligence Can Support Investors, Companies, and Stakeholders?...................................... 219 Pajam Hassan, Frank Passing, and Jorge Marx Goméz 1 Status Quo....................................................................................................... 220 2 Introduction ESG Risk Management and Information Systems................. 221
xiv Contents Concept for the Development of a Taxonomy for the Classification of ESG-Relevant Opportunities and Risks................................................... 224 3.1 Structure of the Case Base (Empirical Data Basis).......................... 225 3.2 Analysis and Evaluation....................................................................... 226 3.3 Iteration 1: Conceptual Development (from Concept to Empiricism)....................................................................................... 226 3.4 Iteration 2: Empirical Development (from Empiricism to Concept)................................................................................. 228 3.5 Iteration 3: Empirical Evaluation (from Empirical to Conceptual)............................................................................ 228 4 Application of the Concept to Develop an ESG Fingerprint for AI-Based Information Systems........................................................... 229 4.1 Case Study 1: Air and Water Pollution (E)....................................... 229 4.2 Case Study 2: Child Labor in the Supply Chain(S)......................... 229 4.3 Case Study 3: Corruption (C)............................................................. 230 4.4 Application of the Taxonomy to Case Studies forESG Fingerprint Development..................................................................... 231 4.5 Potentials for the Use of Big Data and Artificial Intelligence. . . . 231 5 Summary and Outlook..................................................................................... 233 3 It’s Only a
Boti How Adversarial Chatbots can be a Vehicle to Teach Responsible AI....................................................................................................... Astrid Weiss, Rafael Vrečar, Joanna Zamiechowska, and Peter Purgathofer 1 Introduction..................................................................................................... 2 Background...................................................................................................... 2.1 Exposing CS Studentsto AI Ethics and Responsible Innovation.............................................................................................. 2.2 Teaching Resources for Responsible AI............................................ 3 Exploring Disruptive Technologies Course................................................. 3.1 Pedagogical Goals................................................................................. 3.2 Course Format....................................................................................... 3.3 Inputs and Assignments....................................................................... 3.4 Student Project....................................................................................... 4 Outcome........................................................................................................... 4.1 Student Projects..................................................................................... 4.2 Guidelines.............................................................................................. 5
Reflection......................................................................................................... 5.1 Student Perspective............................................................................... 5.2 Teacher Perspective.............................................................................. 6 Conclusion....................................................................................................... References............................................................................................................... 235 235 236 237 238 238 239 240 240 242 243 243 244 245 246 247 248 248
Contents XV Concerted Actions to Integrate Corporate Social Responsibility with AI in Business: Two Recommendations on Leadership and Public Policy...................................................................................................................... 251 Francesca Mazzi 1 Introduction..................................................................................................... 251 2 Setting the Scene: CSR, Ethics and SDGs.................................................. 254 3 A Recommendation on Business Leadership: Adopting a Three-Level Mindset Framework.................................................................................. 255 3.1 Contextualising the Framework: A Case Study of Four AI4SDGs Projects in Latin America................................................................... 256 3.2 The Application of the Three-Level Mindset Framework in Different Sectors and Its Limitations..................................... 258 4 A Recommendation on Public Policy: AI Regulation and Policy Harmonisation........................................................................................... 259 4.1 The Experience of Four AI4SDGs Projects in Latin America: Regional Fragmentation of AI Policies and Regulations................ 260 4.2 Identification of a Forum for Policy Harmonisation and Limitations..................................................... 262 5 Conclusion....................................................................................................... 263
References.............................................................................................................. 264 AI and Leadership: Automation and the Change of Management Tasks and Processes............................................................................................ 267 Isabell Claus and Matthias Szupories 1 The Combination of Artificial and Human Intelligence.............................. 267 2 Leadership with AI: Why There Is No Alternative..................................... 268 3 The Optimum and Pace of Development...................................................... 270 4 Leadership Encompasses Implementation Strength..................................... 271 4.1 Recognising AI Potential and Finding Solutions.............................. 271 4.2 Success Factors for the Implementation of AI Systems................... 272 4.3 Institutionalising andHolisting Implementation................................ 273 5 Case Study: AI for Continuous Monitoring of a Company’s Business Environment.............................................................................................. 274 6 Conclusion...................................................................................................... 276 Achieving CSR with Artificially Intelligent Nudging................................... Dirk Nicolas Wagner 1 Introduction.................................................................................................... 2 The Emergence of Human-Agent Collectives............................................. 3 Homo Economicus and Machina
Economica............................................. 4 A Different Way of Thinking Complements............................................... 5 Augmented Human-Centered Management................................................ 6 Augmentation with Digital Nudging............................................................ 7 Nudges for CSR............................................................................................. 8 Conclusion...................................................................................................... References.............................................................................................................. 279 279 280 282 283 284 286 287 291 291
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| indexdate | 2024-12-20T19:53:03Z |
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| isbn | 9783031092442 |
| language | English |
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| spellingShingle | Responsible artificial intelligence challenge for sustainable management |
| title | Responsible artificial intelligence challenge for sustainable management |
| title_auth | Responsible artificial intelligence challenge for sustainable management |
| title_exact_search | Responsible artificial intelligence challenge for sustainable management |
| title_full | Responsible artificial intelligence challenge for sustainable management René Schmidpeter, Reinhard Altenburger, editors |
| title_fullStr | Responsible artificial intelligence challenge for sustainable management René Schmidpeter, Reinhard Altenburger, editors |
| title_full_unstemmed | Responsible artificial intelligence challenge for sustainable management René Schmidpeter, Reinhard Altenburger, editors |
| title_short | Responsible artificial intelligence |
| title_sort | responsible artificial intelligence challenge for sustainable management |
| title_sub | challenge for sustainable management |
| url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=034093153&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
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