Artificial Intelligence

In this episode, Ricardo discusses Meta's recent development of a "self-thought evaluator," which uses synthetic data to train AI models instead of real human-generated data. This innovation could transform project management by creating lessons learned and risk insights from simulated, rather than real, projects.

In this episode, Ricardo Vargas explores the growing debate around AI's impact on jobs. Last year, Morgan Stanley predicted that AI would disrupt 40% of the workforce (Link to the Article). Last week, Prof Daron Acemoglu from MIT said that everybody overestimates the impact and that the true impact is only 5% (Link to the Article). But for Ricardo, the percentage does not matter; the key is to be prepared for these changes.

In this episode, Ricardo discusses the volatility of AI projects. He explains that AI projects face volatility due to rapid technological advancements, constant changes in API connections, and their experimental nature. Regulatory and ethical considerations evolve daily, creating uncertainty about legal and public perceptions. Talent shortages compound the challenge, with expertise in high demand and high turnover rates.

In this episode, Ricardo introduces the AI-Driven Project Manager Certification, explaining the rationale behind this certification. He highlights the growing hype around AI, with many project managers using AI terms without understanding the technology. The certification aims to ensure that professionals have the knowledge needed to manage AI-driven projects effectively.

Ricardo talks about PMI’s AI Prompt Engineering for Project Managers course in this episode. He highlights the importance of crafting effective prompts using AI tools like ChatGPT. Essential guidelines include being specific, providing context, setting the right tone, knowing your audience, ensuring clarity, and using structured prompts. Ricardo also stresses the need to experiment, test, and refine prompts for the best results.

In this podcast, Ricardo addresses a skeptical comment about AI's impact on project management, specifically questioning whether AI will diminish the role of project managers and PMI's responsibility in shutting down AI. Ricardo emphasizes that neither he nor his colleague Antonio are pushing an AI agenda for profit. Instead, they believe in AI's transformative potential and advocate for preparedness through education and training.

In this episode, Ricardo discusses the virtuous cycle in AI development, based on Andrew Ng's Coursera course, "AI for Everyone," and highlights the importance of creating AI projects that intersect with business value. Ricardo explains that more data improves algorithms and services, attracting more users, which generates more data and creates a virtuous cycle, leading to some companies dominating AI due to their vast data resources.

In this episode, Ricardo discusses the OpenAI ranking to classify AI systems, highlighting the importance of clearly communicating these advances to the general public. The ranking has five levels: 1- Chatbots that support but do not replace jobs, 2 - Systems that solve problems at the human level, 3 - AI capable of taking action, Innovative AI, 4 - Creating new products, 5 - Complex organizational operations managed by AI.

In this episode, Ricardo discusses the misconception that using AI tools like ChatGPT is cheating. He distinguishes between ethical and unethical uses of AI. Using AI to improve communication or generate ideas is fair if the user remains the intellectual author. However, passing off AI-generated work as your own, such as writing articles for publication, is cheating.

In this episode of the 5 Minutes Podcast, Ricardo discusses the crucial balance between exploration and exploitation in the context of AI and business. Exploration involves researching and innovating, similar to analyzing multiple doors to understand the best option. However, at some point, organizations must shift to exploitation, applying their findings to achieve efficiency and profitability.

In this episode, Ricardo discusses his recent article on artificial emotional intelligence (AEI), published with André Barcauí at the London School of Economics Business Review. AEI can significantly improve employment, healthcare, education, and negotiation by identifying small emotional clues. For instance, Character.ai allows users to interact with historical people, while hirevue.com uses avatars to evaluate candidates' emotional matches.

In this episode, Ricardo discusses how the film "The Social Network" prompted him to think creatively. By encouraging people to focus on novel concepts rather than mundane routines, he reinforces the importance of escaping the conformity cycle. Ricardo argues that in order to improve one's creative and problem-solving abilities, one should seek out varied experiences, break out of patterns, and meet individuals with different viewpoints.

In this episode, Ricardo talks about findings from the "Stanford University AI Index Report," which emphasizes the advantages that industry has over academia in AI research, the efficacy of AI in specific activities, and the high expense of creating sophisticated models. Although regulation is still in its infancy, the US leads the way. While AI boosts efficiency, it can also lead to reliance.

In this episode, Ricardo talks about the hype cycle, which was first used in relation to technology but is also applicable to project management. He describes how projects go through phases of exhilaration that peak upon release, problems, and disillusionment. This cycle is like how technology hype, like that surrounding the 2022 introduction of ChatGPT, unfolds.