WP2
Part 1
April, Kurt. “AI-Induced Solidarity Economy: The Need for Stewardship Orientation.” Effective Executive, vol. 26, no. 3, 2023, pp. 30–45.
The paper argues for a stewardship-oriented economic system in response to AI's societal impact. It critiques neoliberal economics and suggests a solidarity economy as a solution for inequality exacerbated by AI. The strength of the paper lies in its interdisciplinary approach, connecting technological changes with socioeconomic dynamics. However, it may face challenges in applicability across different global contexts due to varying degrees of AI integration and economic structures.
Artificial Intelligence (New York, N.Y. : 1970). American Elsevier Pub. Co., 1970.
Berretta, Sophie, et al. “The Job Perception Inventory: Considering Human Factors and Needs in the Design of Human–AI Work.” Frontiers in Psychology, vol. 14, 2023, pp. 1128945–1128945, https://doi.org/10.3389/fpsyg.2023.1128945.
By assessing work characteristics, job identity, workplace perception, and evaluation of AI integration, the study identifies crucial factors influencing employee experience. Strengths include a multidimensional approach and practical application in manufacturing, while potential weaknesses might involve its adaptability across diverse industries and job roles.
Figoli, Fabio Antonio, et al. Artificial Intelligence in the Design Process: The Impact on Creativity and Team Collaboration. Franco Angeli, 2022.
The book explores integrating AI into the design process, focusing on enhancing creativity and collaboration. It posits AI as a tool for managing project complexity and boosting designers' capabilities. A workshop with sixteen participants using AI for research, sketching, and color selection demonstrated AI's potential to increase variance, inspiration, and lateral thinking, reducing creative stagnation. The findings suggest that conscious application of AI significantly benefits the creative design phases.
Floreano, Dario, and Claudio Mattiussi. Bio-Inspired Artificial Intelligence Theories, Methods, and Technologies. MIT Press Ltd, 2023.
Greenwald, Anthony G. “An AI Stereotype Catcher.” Science (American Association for the Advancement of Science), vol. 356, no. 6334, 2017, pp. 133–34, https://doi.org/10.1126/science.aan0649.
Iansiti, Marco, and Karim R. Lakhani. Competing in the Age of AI: Strategy and Leadership When Algorithms and Networks Run the World. Harvard Business Review Press, 2020.
The book examines the transformative power of artificial intelligence on business. It presents AI as a fundamental driver of operational and strategic change, offering a guide for leaders to navigate the new landscape. The book highlights case studies and a framework for organizations to capitalize on AI's potential, emphasizing innovation and decision-making. Its strength lies in its practical insights and actionable strategies, although it might be less focused on technical specifics of AI implementation.
Jovanović, Jelena, et al. “The Social Semantic Web in Intelligent Learning Environments: State of the Art and Future Challenges.” Interactive Learning Environments, vol. 17, no. 4, 2009, pp. 273–309, https://doi.org/10.1080/10494820903195140.
This document examines the integration of Social Semantic Web into Intelligent Learning Environments (ILEs), highlighting its potential to enhance educational systems through improved personalization, context-awareness, and interactivity. It reviews current technologies, showcases benefits for ILE components, and identifies future challenges, suggesting that combining social and semantic web tools could revolutionize learning environments.
Li, Wei, et al. “Crowd Intelligence in AI 2.0 Era.” Frontiers of Information Technology & Electronic Engineering, vol. 18, no. 1, 2017, pp. 15–43, https://doi.org/10.1631/FITEE.1601859.
Mahmud, Bahar, et al. “A Study of Human–AI Symbiosis for Creative Work: Recent Developments and Future Directions in Deep Learning.” ACM Transactions on Multimedia Computing Communications and Applications, vol. 20, no. 2, 2023, pp. 1–21, https://doi.org/10.1145/3542698.
The paper argues that AI can significantly contribute to creative fields by offering new perspectives and efficiencies. However, it also notes the challenges in achieving seamless human-AI collaboration, including the need for improved AI understanding of human intentions and behaviors.It presents case studies on text generation, artistic drawing, and augmented reality, highlighting the potential for AI to complement human creativity.
Morandini, Sofia, et al. “THE IMPACT OF ARTIFICIAL INTELLIGENCE ON WORKERS’ SKILLS: UPSKILLING AND RESKILLING IN ORGANISATIONS.” Informing Science, vol. 26, 2023, pp. 39–68, https://doi.org/10.28945/5078.
The document explores the impact of Artificial Intelligence (AI) on workers' skills focusing on upskilling and reskilling within organizations. It discusses how AI's integration demands new skills and the reevaluation of existing ones, potentially automating tasks and transforming job roles. A weakness could be an underestimation of the individual variability in adapting to AI-induced changes.
Milton, Jeyarani, and Arwa Al-Busaidi. “New Role of Leadership in AI Era: Educational Sector.” SHS Web of Conferences, vol. 156, 2023, pp. 9005-, https://doi.org/10.1051/shsconf/202315609005.
The article discusses how AI is revolutionizing leadership in education. It emphasizes that leaders must possess both hard skills, like data analytics, and soft skills, like empathy, to effectively integrate AI into higher education. The study uses desk research methodology, drawing from various surveys and reports, and concludes that emotional intelligence is increasingly vital in the AI era. The paper's strength is in its comprehensive analysis of AI's impact on leadership roles, but it may lack empirical data from primary research.
Mosch, Lina, et al. “The Medical Profession Transformed by Artificial Intelligence: Qualitative Study.” Digital Health, vol. 8, 2022, pp. 20552076221143903–20552076221143903, https://doi.org/10.1177/20552076221143903.
The study suggests AI's integration will necessitate new professional roles and skills, especially in data management and ethical considerations. While AI may augment certain medical functions, the need for human judgment remains critical. The research's strength lies in its foresight and expert insights; however, its predictions are speculative and contingent on future AI developments and integration.
Polak, Petr. “Welcome to the Digital Era—the Impact of AI on Business and Society.” Society (New Brunswick), vol. 58, no. 3, 2021, pp. 177–78, https://doi.org/10.1007/s12115-021-00588-6.
The document discusses the transformative effects of AI on business and society. It delves into how AI enhances labor productivity while also raising concerns about job displacement. The argument is supported by evidence of AI's current and potential future applications. The document is well-articulated, providing a clear account of the economic impacts of AI.
Rahman, Md Mostafize, and Yutaka Watanobe. “ChatGPT for Education and Research: Opportunities, Threats, and Strategies.” Applied Sciences, 2023-05, Vol.13 (9), p.5783, Article 5783.
The paper evaluates ChatGPT's utility in programming education. Through surveys and coding experiments, it highlights ChatGPT's capabilities in aiding learning, teaching, and code optimization. The study presents benefits and risks of AI in education, proposing strategies to address challenges like academic integrity. Its strength is in providing empirical evidence of ChatGPT's educational impact, though it acknowledges ChatGPT's limitations and the need for critical usage.
Rakowski, Roman, et al. “Ethical Aspects of the Impact of AI: The Status of Humans in the Era of Artificial Intelligence.” Society (New Brunswick), vol. 58, no. 3, 2021, pp. 196–203, https://doi.org/10.1007/s12115-021-00586-8.
Reinhardt, Karoline. “Trust and Trustworthiness in AI Ethics.” Ai and Ethics (Online), vol. 3, no. 3, 2023, pp. 735–44, https://doi.org/10.1007/s43681-022-00200-5.
Russel, Stuart, and Peter Norvig. Artificial Intelligence A Modern Approach. Second Edition ed., Prentice Hall, 2003.
Sartori, Laura, and Andreas Theodorou. “A Sociotechnical Perspective for the Future of AI: Narratives, Inequalities, and Human Control.” Ethics and Information Technology, vol. 24, no. 1, 2022, https://doi.org/10.1007/s10676-022-09624-3.
Tinnirello, Maurizio, editor. The Global Politics of Artificial Intelligence. First edition., CRC Press, 2022.
Zheng, Qian, et al. “Digital Capability Requirements and Improvement Strategies: Organizational Socialization of AI Teammates.” Information Processing & Management, vol. 60, no. 6, 2023, pp. 103504-, https://doi.org/10.1016/j.ipm.2023.103504.
The paper examines the integration of AI into organizational teams, highlighting the necessity for enhanced digital capabilities and effective socialization strategies for AI as team members. It proposes a multi-level framework for improving individual, organizational, and cross-organizational digital capabilities to foster efficient human-AI collaboration. The strength of the paper lies in its detailed framework and practical improvement strategies, though its applicability across diverse organizational contexts may vary.
Part 2
For WP2, I chose to write a focused inquiry into the implications of artificial intelligence (AI) on human capabilities and the essential skills required in an era increasingly defined by AI integration. The essay's theme is centered on how AI influences the evolution of job roles, demands new forms of education, reshapes the notion of creativity, and necessitates a rethinking of economic structures. It examines the potential of AI to augment human potential and the corresponding shift in educational and professional development paradigms needed to foster an effective human-AI symbiosis. The essay aims to dissect the nuanced relationship between AI advancements and human skill enhancement, advocating for a balanced approach to AI deployment in various sectors.
The study of texts related to AI’s impact on human capabilities has led to several surprising discoveries. I found out that people’s general attitudes towards AI have shifted. Initially, AI was viewed with skepticism and fear, particularly regarding its potential to automate jobs and displace human workers. However, historical trends have shown that technology, while disruptive initially, often leads to the creation of new job categories and a demand for new skills. We always need to have faith in the resilience and adaptability of the human workforce in response to such technological changes.
Another unexpected discovery is regarding AI’s role in promoting a solidarity economy, which suggests an economic model that emphasizes community and collaboration over competition and individualism. AI could help coordinate shared resources, optimize community-based services, and enable local economies. This model proposes that AI could be used to distribute wealth more equitably rather than exacerbating inequality. The research also uncovered AI is actually enhancing human creativity rather than stifling human innovation. In creative work, AI is being seen not just as an assistant but as a collaborator, capable of inspiring human partners and pushing the boundaries of innovation. This counters the narrative that AI is a mere tool, showcasing its potential as a co-creator in various fields.
Initially, my perspective on the advent of AI was anchored in the prevalent fear that it would eclipse human creativity and diminish our overall capabilities. The common narrative suggested that as AI systems became more advanced, they would automate not just manual tasks but cognitive ones as well, potentially rendering human skills and creativity obsolete. However, as I delved deeper into the scholarly discourse and examined various studies and theories, my view on the topic evolved significantly. Rather than simply automating jobs, AI is transforming them, creating a demand for new skill sets. For instance, AI's role in the design process not only automates repetitive tasks but also offers designers new tools to enhance their creativity, enabling them to explore solutions they might not have considered otherwise. Similarly, in education, AI is not replacing teachers but is being used to support personalized learning experiences, thereby enhancing the educational process.
My research revealed that while AI does automate some tasks, it also complements and augments human work, pushing us to develop higher-level skills and engage in more complex problem-solving. The integration of AI into various domains has underscored the importance of skills such as critical thinking, emotional intelligence, and ethical judgment—capabilities that are uniquely human and currently beyond the reach of AI. This nuanced understanding led me to appreciate the positive aspects of AI's influence. Instead of viewing AI as a threat to human capability, I now see it as a catalyst for skills transformation, driving a renaissance in human creativity and intellectual growth.
A multi-media analytical essay would be the most suitable genre to articulate the evolved understanding of AI's role in enhancing human capabilities. This format is optimal because it supports a comprehensive and nuanced argument with the aid of various media, such as interactive data visualizations, video interviews, and infographics. It allows for incorporating diverse perspectives and complex information in an engaging and accessible manner. Moreover, the analytical nature of the essay facilitates a critical examination of the topic. At the same time, the multi-media aspect caters to different learning styles, potentially reaching a broader audience and maximizing the impact of the message. This genre aligns with the need to present a balanced view that not only explores the transformative effects of AI but also considers the challenges it presents, encouraging a reflective and informed discourse on the future of AI and human collaboration.