Table 2. Key themes Transparency and... | Emerald Publishing

Table 2.

Key themes

Transparency and explainability	Protecting consumers’ privacy and autonomy	Promoting fairness and nondiscrimination	Evaluating the effectiveness	Market share concentration	Negative consequences	Customer manipulation
1. Ethical and moral principles that guide decision-making in the use of AI 2. Ethics and morality in AI-driven decision-making 3. Ethical considerations in the use of AI 4. Ensuring ethical practices in AI applications 5. Upholding ethical standards in AI usage 6. Ethical decision-making in the use of AI 7. The ethical framework for AI applications 8. Integrating ethical considerations into AI development 9. The role of moral principles in the use of AI	1. Ensuring that AI systems do not violate consumers' rights or infringe upon their autonomy 2. Establishing clear standards for the development and use of AI systems 3. Incorporating privacy principles 4. Ensuring AI systems are designed with the user in mind 5. Ensuring AI systems comply with relevant laws related to consumer privacy 6. Providing consumers with accessible and user-friendly means of recourse 7. Ensuring AI systems	1. Ensuring that AI systems do not perpetuate biases or discriminate against any group of people 2. Evaluating the potential harms and benefits 3. Creating diverse teams 4. Providing clear and accessible information 5. Promoting public awareness 6. Ensuring that data used to train AI systems is representative 7. Regularly auditing 8. Ensuring ethical and fair AI practices 9. Encouraging social justice 10. Regularly updating AI systems to address potential biases 11. Encouraging awareness to promote nondiscrimination	1. Measuring the success of AI systems in achieving their intended goals 2. Assessing the accuracy and reliability of AI systems in delivering desired outcomes	1. Examining the concentration of power and market share in the AI industry 2. Studying the impact of AI on economic inequality 3. Examining the potential of AI to exacerbate existing power imbalance 4. Exploring the role of AI in shaping the social and political system 5. Considering long-term societal effects 6. Examining the role of AI on economic and social inequality	1. Examining and mitigating potential negative consequences of AI systems 2. Mitigating negative consequences 3. Identifying unintended consequences 4. Addressing potential ethical dilemmas 5. Ensuring AI systems do not cause harm to society 6. Encouraging AI systems do not have negative consequences 7. Addressing the negative impact of AI 8. Addressing the potential impact of AI on the job market	1. Ensuring that AI systems are not designed to manipulate or exploit customers 2. Ensuring AI systems are designed with privacy 3. Designing AI systems that can be audited 4. Promoting awareness of AI technologies 5. Develop guidelines to promote transparency and accountability 6. Establishing ethical standards for the collection and use of consumer data

Transparency and explainability	Protecting consumers’ privacy and autonomy	Promoting fairness and nondiscrimination	Evaluating the effectiveness	Market share concentration	Negative consequences	Customer manipulation
1. Ethical and moral principles that guide decision-making in the use of AI2. Ethics and morality in AI-driven decision-making3. Ethical considerations in the use of AI4. Ensuring ethical practices in AI applications5. Upholding ethical standards in AI usage6. Ethical decision-making in the use of AI7. The ethical framework for AI applications8. Integrating ethical considerations into AI development9. The role of moral principles in the use of AI	1. Ensuring that AI systems do not violate consumers' rights or infringe upon their autonomy2. Establishing clear standards for the development and use of AI systems3. Incorporating privacy principles4. Ensuring AI systems are designed with the user in mind5. Ensuring AI systems comply with relevant laws related to consumer privacy6. Providing consumers with accessible and user-friendly means of recourse7. Ensuring AI systems	1. Ensuring that AI systems do not perpetuate biases or discriminate against any group of people2. Evaluating the potential harms and benefits3. Creating diverse teams4. Providing clear and accessible information5. Promoting public awareness6. Ensuring that data used to train AI systems is representative7. Regularly auditing8. Ensuring ethical and fair AI practices9. Encouraging social justice10. Regularly updating AI systems to address potential biases11. Encouraging awareness to promote nondiscrimination	1. Measuring the success of AI systems in achieving their intended goals2. Assessing the accuracy and reliability of AI systems in delivering desired outcomes	1. Examining the concentration of power and market share in the AI industry2. Studying the impact of AI on economic inequality3. Examining the potential of AI to exacerbate existing power imbalance4. Exploring the role of AI in shaping the social and political system5. Considering long-term societal effects6. Examining the role of AI on economic and social inequality	1. Examining and mitigating potential negative consequences of AI systems2. Mitigating negative consequences3. Identifying unintended consequences4. Addressing potential ethical dilemmas5. Ensuring AI systems do not cause harm to society6. Encouraging AI systems do not have negative consequences7. Addressing the negative impact of AI8. Addressing the potential impact of AI on the job market	1. Ensuring that AI systems are not designed to manipulate or exploit customers2. Ensuring AI systems are designed with privacy3. Designing AI systems that can be audited4. Promoting awareness of AI technologies5. Develop guidelines to promote transparency and accountability6. Establishing ethical standards for the collection and use of consumer data