Organizational change

Use Artificial Intelligence to implement the Prospect Theory of Daniel Kahneman: Shaping the Understanding of Economic Decision-Making with Large Language Models

Kahneman’s groundbreaking contributions to “prospect theory” highlighted the limitations of the expected utility theory, underscoring the significance of psychological biases in economic decision-making. This theory marked a significant departure from the assumption that individuals act purely on rational calculations, acknowledging instead the influence of various biases and heuristics. The human brain is a multifaceted mosaic, with each piece affecting our decision-making processes. Consequently, the images I have generated, inspired by Picasso’s style, reflect this complexity. Picasso was a trailblazer in depicting the multifaceted nature of the human mind. How do we make decisions? The recent passing of Daniel Kahneman at age 90 marks the end of an era for behavioural science but also solidifies a legacy that will persist through the…

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Fairness, Transparency, and Accountability (FTA) in navigating Ethical Quagmires in AI Chatbot Governance

As AI chatbots advance towards human-like interactions, the urgency for robust ethical frameworks intensifies, exposing the inadequacies of current governance mechanisms. The concept of AI constitutions, while pioneering, remains aspirational, with existing guidelines lacking the comprehensiveness to mitigate potential abuses effectively. The reliance on Reinforcement Learning by Human Feedback (RLHF) is fundamentally flawed, failing to offer a nuanced ethical compass or transparency in decision-making. Furthermore, the so-called AI guardrails demonstrate vulnerability, easily bypassed by trivial manipulations. This scenario underscores the critical need for a dynamic, interdisciplinary approach to AI governance, incorporating diverse perspectives beyond the technological realm to navigate the ethical complexities inherent in AI development and deployment.

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Exploring Skill Biased Technological Change, Routinization, and the Impact of AI on the Job Market

The exploration of Skill Biased Technological Change (SBTC) and Routinization in the context of artificial intelligence (AI) reveals a nuanced impact on the job market. SBTC highlights the increasing demand for high-skilled labor as technology advances, while Routinization underlines the susceptibility of routine tasks to automation, potentially displacing jobs. However, AI also fosters new opportunities, necessitating skills that complement technological capabilities, such as data analysis, creativity, and complex problem-solving.

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Turning Doubts into Triumphs: A Project Manager’s Journey in navigating high-risk AI investments

Focuson securing funding for a high-risk AI research initiative, emphasizing the significance of comprehensive project understanding, effective storytelling, and resilience in stakeholder management. The journey highlights the essential strategies for overcoming skepticism: articulating the project’s potential to revolutionize drug discovery, transparently addressing risks with a mitigation plan, and demonstrating the value of perseverance, adaptability, and emotional intelligence. This experience offers key insights for managing high-stakes technology investments, underscoring the importance of technical knowledge, narrative crafting, risk communication, leadership humility, and mental health awareness.

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This time is different: the impact of ChatGPT on the future of jobs and the advent of real time self-coding applications

The article discusses the impact of ChatGPT and other AI technologies on society and the workforce, with a focus on how it will affect different professions. The article also explores the advent of real-time application development and how AI tools like ChatGPT are shifting the paradigm towards personalized applications that are developed on demand, in real-time. The article concludes by providing tips on how to adapt to the disruption brought about by AI, including taking basic AI or machine learning courses and reading top AI books.

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The AI Productivity Revolution of 2023

The 2023 Gartner Emerging Technologies and Trends Impact Radar identifies pivotal advancements shaping the future of technology and business. It underscores the critical role of four groundbreaking technologies: neuromorphic computing, self-supervised learning, the metaverse, and human-centered AI. These innovations are poised to redefine market landscapes by enhancing AI capabilities, accelerating learning processes without extensive human supervision, offering immersive digital realms, and prioritizing ethical considerations in AI development.

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Playing with Turing’s Test: ChatGPT Attempts to Pass as Human

The article discusses the impact of ChatGPT and other AI technologies on society and the workforce, with a focus on how it will affect different professions. The article also explores the advent of real-time application development and how AI tools like ChatGPT are shifting the paradigm towards personalized applications that are developed on demand, in real-time. The article concludes by providing tips on how to adapt to the disruption brought about by AI, including taking basic AI or machine learning courses and reading top AI books.

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Data Management Risks and Rewards: A Comprehensive Guide to Maximizing Value and Mitigating Risk

Data management stands as a pivotal element in modern enterprises, encapsulating both value and inherent risks. Recognizing the significance of high-quality data is essential for enhancing decision-making, boosting revenue, and minimizing costs. This discourse delves into the multifaceted nature of data management, highlighting the paramount importance of maintaining impeccable data quality to avert the adverse impacts of inaccuracies and ensure compliance with regulatory standards. Addressing data quality risks—including incompleteness, inaccuracies, and inconsistencies—is crucial for operational efficacy. Emphasizing a strategic approach to data governance and the adoption of best practices, such as regular assessments and the implementation of comprehensive management plans, can significantly mitigate these risks. This exploration underscores the necessity of a holistic and proactive stance towards data management to harness its full potential while safeguarding against potential pitfalls.

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Transforming the performance of my team

In a manufacturing plant endeavor to optimize processes through Artificial Intelligence, the challenge transcended technical hurdles, evolving into a quest for cohesive teamwork among specialists. The introduction of weekly knowledge sharing sessions, fostering a culture of open dialogue and mutual respect, paved the way for a unified language and understanding. Agile methodologies, including Scrum and Kanban, streamlined project management, enhancing collaboration and transparency. A pivotal strategy involved pairing data scientists with engineers, facilitating a symbiotic exchange of expertise that culminated in a predictive model reducing machinery downtime. This journey underscored the transformative power of technology, harmonized through teamwork and shared vision, culminating in heightened efficiency and innovation.

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Dualities in the organizational change – Notes

Dualities in Organizational Change: Exploring Polar Opposites. Delve into the complexities of institutional change processes, where dualities and tensions shape the landscape. From pressures for change to reinstitutionalization, grasp the nuanced dynamics driving organizational transformation. Discover how embracing dualities can enrich theories of planned change, navigating the intricate balance between opposing forces.

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