Anna Wiksten’s Post

An excting panel and set of topics in discussion - join us! #behavioralscience #behavioralinsights #ai #bi #policy #ethics

Another great session today for Women Professionals and Entrepreneurs! Join us every Monday at Noon EST for our "Go Quantum - Goal Setting | Goal Getting Sessions." Kick off every week with clear Goals, and Systems (tools, tips, processes and strategies) to ensure you commit to achieving your goals! Join our cooperative community and gain access to a proven SYSTEM, a network of accountability partners, effective frameworks and resources. Every dream needs a goal/plan. Every goal/plan needs an ACCOUNTABILITY SYSTEM for manifestations. #HabitsMatter #HealthyHabits #GoQuantum Uncover the art and science of Goal Getting & Goal Setting! ____________ "Goals are good for planning your progress, and systems are good for actually making progress. Goals can provide direction and even push you forward in the short-term, but eventually a well-designed system will always win. Having a system is what matters. Committing to the process is what makes the difference." - James Clear, Author, The Atomic Habits ________________ What is Goal Clarity? The management and applied psychology literatures defines Goal Clarity as “the extent to which the outcome goals and objectives are clearly stated and well defined.” - (Sawyer 1992). #NLP #TransformativeLeadership #TLC #SMARTERGoals #CLARITY #COURAGE #COMMITMENT #CONSISTENCY #CREATIVITY #CAPACITY #COCREATION #7Cs

Artificial Intelligence may appear to enhance Coaching but a third entity might oversee both, Encoded and Facilitated Consciousness. Quentin Gallea, PhD highlights how Education might correlate to improved Performance but it is a common dynamic of Cognitive Capacity that is the real causal shift in Performance. So does utilising or applying AI correlate to enhanced Coaching as Education does to improving Performance, suggesting a more significant causal factor at the root of enhanced Coaching? I believe human Conscious Agency, and how it is encoded into Artificial Intelligence as well as facilitated and cultivated in Coaching, is the common cause for development of both. Thoughts in comments please.

Why "correlation does not imply causation"? There are two main scenarios. In short, you have a problem if you have a third element affecting your cause (1) and outcome of interest (2). You need the two conditions (1) and (2) to have such problem. PROBLEM a): First, as illustrated on the left in the Figure below, the positive relationship between sunburns and ice cream sales is just due to a common cause: Sunny days. When it is sunny both take place but there is no direct causal link between sunburn and ice cream sales. This is what we call a spurious correlation. PROBLEM b): The second scenario is depicted on the right, there is a direct effect of education on performance, but cognitive capacity affects both. So, in this situation, the positive correlation between education and job performance is confounded with the effect of cognitive capacity. REFINING: Then it is a matter of assessing if the confounding effect of the third variable amplifies or attenuates the effect observed. You can often live with an attenuation bias (you just have a conservative/lower estimate). However, if both go in the same direction it even questions if there is an effect from your cause of interest. SOLUTION: Why does randomization solve this issue? If you randomize the treatment allocation, you basically get rid of the arrow from the confounder to the treatment (cause of interest). Hence, you don't have any more the two necessary conditions (1) and (2). This third variable still affects the outcome, but now there is no systematic difference between the two groups, and hence the effects are not confounded. ------------------- 🧠I help you go from intuition and correlational analysis to causal analysis, leading to effective data-driven decisions. 🤝Connect with me to learn the causal mindset through my daily posts. 𝐓𝐡𝐢𝐧𝐤 𝐂𝐚𝐮𝐬𝐚𝐥𝐥𝐲, 𝐀𝐜𝐭 𝐖𝐢𝐬𝐞𝐥𝐲 #causalinference #causality #ai #ml #causalai #causalml #statistics #econometrics #datascience #causaldiscovery

The more experience I have in business, the more I realize how crucial it is to have a well-structured decision making process. It seems self-evident. But in fact, most organizations and leaders are not terribly good at it. It seems like something that should be taught in high school and expanded upon in MBA programs. Structured, clear decision making can save a lot of waste in the world.

Sharing this post to highlight the work by Daniel Kahneman who pioneered theories in behavioural economics. The introduction to the concept of noise as a source of errors and explain how it is distinct from bias. Executives who are concerned with accuracy should also confront the prevalence of inconsistency in professional judgments. Noise is more difficult to appreciate than bias, but it is no less real or less costly." #business #kahneman #behavioraleconomics #decisionscience #AI

"What can a degree in psychology do?!" I've heard and advised on this topic many times now - and I always say, MORE than you expect!! Tomorrow I'll be sharing this message with the University of Cambridge Behavioural Insights Student Society. This society wasn't around when I was at Cambridge, but I'm excited that it has emerged because there's still a lot of misunderstanding around the applicability of psychology to the "real world". Opportunities are out there. I really believe this. For example, Cambridge Consultants incorporates insights from the field into human-centric technology development, and proudly so, to make a positive difference to people, businesses and the world. And I'm sure you can think of other companies doing amazing things through a better understanding of the people at the core of their product/service :) These opportunities won't always be shouting from the rooftops. BUT the concept of human-centricity is more important now than ever, from AI development to medical technology to ethics. So we have to be flexible, learn as much as we can about our interests, and communicate - connections pop up in the most unexpected places, and we have to be ready to seize them. #AI #technology #innovation #humanmachineinteraction Emma Hughson Ali Shafti Sally Epstein Kary Bheemaiah Dr Maya Dillon Mary Chan Dr Helena Rubinstein

Tomorrow in the TRAP lab... We are super lucky. At the very last minute, Mohammed Salah Hassan (all the way from Oman!) has agreed to present his new research, “Can Generative AI Craft Variable Questions? A Mixed-Method Study on AI’s Capability to Adopt, Adapt, and Create New Scales.” His premise - LLM’s can (help) write valid and reliable psychological scales. Is ChatGPT going to put us academics out of work? Or will it unlock new capabilities? Is this a path to ruin or a path to glory? Abstract This study examines the capabilities of Generative artificial intelligence (AI), particularly GPT-4, in transforming research scale development, a process traditionally characterized by extensive time requirements and the potential for human bias. The research aims to clarify whether AI can match and enhance the efficiency and objectivity of research scale creation and adaptation. By adopting a mixed-method design, the study utilizes GPT-4 to generate and modify research scales, which were then rigorously evaluated for reliability and validity and juxtaposed against the scales developed through traditional methodologies. This comprehensive evaluation encompasses quantitative and qualitative assessments and provides a general view of the effectiveness of AI-generated scales. Results revealed GPT-4’s remarkable ability to produce reliable, valid, and comparable research scales that were developed using established methods. Expert feedback further underscores AI’s potential in this field, particularly in reducing human biases and increasing methodological efficiency. A synergistic approach was developed Based on consensus, combining AI’s computational strengths and human oversight and expertise. This study highlights a significant advancement in research methodology and illustrates AI's practical and beneficial integration in scale development. Moreover, it opens new research practice avenues and enables the selection of highly streamlined, unbiased, innovative scale creation processes. jointhetrap.com

No more genuine over the integrity of #research? Last week, I heard one of the #HBS professors was accused of fraud of data manipulation in some of her research in behavioral science on business. However, it contradicted what I learned during the one-month digital literacy and critical thinking class which labeled research from prestige institutions are more reliable than blogs or whatsoever. Now, as a reader, we should be aware and more detailed in synthesizing #journal articles or information as this aspect can't guarantee you more. Especially, social sciences which sometimes have more absurd variables than the #STEM field which is more certain and straightforward, despite fewer variables. Indeed, it's a huge homework, not only for academicians but also business especially #consulting firm that is figuring out subject-matters problem of organizational behavior and consumer #behavior in a business. I do believe #Harvard is strict in accepting academic papers than local colleges from my country which have many flawed data analyses and biases in research, particularly recent research in Covid-19 and business as I used to retrieve in my college assignment and my startup project. A former #college instructor once told me many lecturers have low #Scopus index, leading to a bad global university reputation. Also, the index of the paper is not the only way to generalize credibility, but the systematic #policy is more important as humans can do dishonesty and the growth of AI could result in biases. #AI and humans should be working together, not replacing the whole job that humans does for centuries to avoid worse scenarios. #fransescagino #bias #research #criticalthinking #digitalliteracy https://lnkd.in/gQ_y2Web