Michel Paillet, PhD

🚀 How to handle #objections 🚀 Great session today! I adapted the LSP Application developed by Rachele Soliera, using the #StoryCubes instead of the #LEGOSERIOUSPLAY Method. Well…we know that: two different tools, with two different results.

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Interesting BOOK : The upcoming AI Act marks a turning point in the regulation of artificial intelligence, putting the legality and ethics of AI at the top of mind. #AIAct

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Announcing a new Complex Systems Framework Collection by Diane T. Finegood and 🎨 illustrated by me! You’ll find tools for exploring strategies, unpacking paradigms and navigating complexity - and all of them illustrated to help make ideas easy to understand. Whether you’re new to unpacking complexity or teaching about systems thinking, we hope you find the collection and the way it’s organized to be useful. And it’s free - please share and use these resources.    If you don’t spot your favourite model in this set (I know you have one!), don’t worry - the collection will grow over the next few months. Let us know what you think! As Diane says, “The website is a collection of frameworks from many different complex systems thinkers including: Trish Greenhalgh, Brenda Zimmerman, Michael Quinn Patton, Dave Snowden, Ralph Stacey, Max French, Donella Meadows, Tamarack Institute for Community Engagement, Margaret Wheatley, Deborah Frieze, Yaneer Bar-Yam.” Jessica Riehl Amy Zidulka Aftab Erfan Brian Tarallo Sunni Brown Brandy Agerbeck Tara Robertson, CPCC, ACC Philip Bakelaar https://lnkd.in/gGT3g4Nq #systemsthinking #designthinking #complexity #complexsystems #models #graphicfacilitation

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🟢📌𝗔𝗜 #𝗹𝗲𝗮𝗱𝗲𝗿𝘀𝗵𝗶𝗽 𝘁𝗶𝗽𝘀: 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗶𝗻𝗴 𝗮 𝗦𝘂𝗰𝗰𝗲𝘀𝘀𝗳𝘂𝗹 𝗔𝗜 #𝗦𝘁𝗿𝗮𝘁𝗲𝗴𝘆: To guide the strategic decisions when integrating new #AI technologies into an organisation, the aiSTROM framework aims to provide concrete thinking points and strategic decisions that should not be overlooked when tackling AI #technology. Taking some of these items into account will help the organisation to successfully select the best AI projects to focus on and give them more insight into the strategic decisions and challenges involved. 💬💡 Comment to share your thoughts or DM to kickstart your journey towards #ai proficiency for your workforce. ✅ Follow me for insights into responsible AI best practices, EU AI Act compliance, and AI/ data literacy for #management, #design and #leadership. ✍🏽Source: https://lnkd.in/dKgWvNvW

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Worldwide 𝗔𝗜 𝗣𝗮𝘁𝗲𝗻𝘁𝘀: Our new software! The graphic shows the number of AI-related patents granted each year. The figures come from the Center for Security and Emerging Technology (CSET), accessed via Stanford University’s 2024 AI Index Report. ⚓ China first overtook the USA in 2013. Since then, China has seen enormous growth in the number of AI patents granted. Until the latest year for which data is available, the country was granted more patents than the rest of the world combined. According to CSET, AI patents relate to mathematical relationships and algorithms, which are considered abstract ideas under patent law. In the USA, AI patenting is concentrated amongst large companies including IBM, Microsoft and Google. On the other hand, AI patenting in China is more distributed across government organizations, universities and tech firms (e.g. Baidu, Tencent). In terms of focus area, China’s patents are typically related to computer vision, a field of AI that enables computers and systems to interpret visual data and inputs. Meanwhile America’s efforts are more evenly distributed across research fields. Overall, China and the USA are the most important countries in terms of AI development, with China leading the way. ⚓ In 2023, we, THE 1st HR ADVISORY & ETHICS GROUP©, conducted a global analysis of the software relevant to us. Our findings led us to leading manufacturers in the USA, China and Asia. At the end of 2023, we then opted for what we considered to be the best and most suitable software, one of the 𝘄𝗼𝗿𝗹𝗱'𝘀 𝗹𝗲𝗮𝗱𝗶𝗻𝗴 software solutions with the 𝗵𝗶𝗴𝗵𝗲𝘀𝘁 𝗹𝗲𝘃𝗲𝗹 of global 𝗔𝗜 support. Our software manufacturer was founded in 1996 in a suburb of Chennai in southern 𝗜𝗻𝗱𝗶𝗮 and today supports users in over 150 countries around the world with another headquarter outside Austin in Del Valle, Texas/𝗨𝗦𝗔, with over 15,000 employees. Software solutions from Germany, the country where our headquarters are located, were not an option and played no role in our selection process. We are still in the process of implementing our new software, but we can already say that we are really enjoying the many possibilities and the state-of-the-art AI support. It's also interesting that we automatically receive updates within the software, whereas in Germany we sometimes had to pay a lot of extra money for them. ⏩ Do you know if you are working with one of the world's leading AI-supported software solutions? ⚓ If you have any 𝗾𝘂𝗲𝘀𝘁𝗶𝗼𝗻𝘀 or are looking for qualified 𝘀𝘂𝗽𝗽𝗼𝗿𝘁 in the business fields HEADHUNTING, INTERIM EXPERTS & MANAGERS, LEADERSHIP/HR, BUSINESS CONSULTING or PERSONAL Expert & Leader BRANDING, just send me a short message here on LinkedIn or at thomas.behncke@insemaco.com For further future-oriented information, thoughts and ideas simply activate the “𝗯𝗲𝗹𝗹” at the top right of my profile. BE A PERSONALITY OF THE 𝟮𝟭TH CENTURY!© #personality21century #leadership #CEO #CxO #HR

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Actionable #AI Governance is critical for building ethical AI practices - join Logical AI Governance for in-person training on how to operationalize governance for AI.

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[Simple Guide for Future-Proof AI Products] There are currently no standard methods for benchmarking/mitigating unintended consequences of AI applications yet. (As it was discussed at the Responsible AI Governance: From Conceptualization to Operationalization @NOKIA Bell Labs Social Dynamics [https://lnkd.in/dySX63Mh].) As a result, early-stage companies may find it overwhelming to address these issues while building their products. Moreover, these topics can be controversial and uncomfortable to discuss, which leads to avoiding them until they cause a serious issue. Upcoming government AI regulations such as the EU AI Act, the UK AI regulation, the US AI regulation and China’s AI regulation provide a strong incentive to establish effective benchmarks. I believe that if we can move past the initial discomfort and accept imperfect, minimal solutions to start with, we will ultimately have a much stronger, future-proof AI strategy and product. [Here is my Simple Guide for Future-Proof AI Products] (Links will follow in the comments) 1. Be honest with yourself: How much do you care about your product’s impact vs how much do you care about regulations or potential scandals? It’s good to clarify these early on to create a viable strategy. 2. Define your own and your company's mission:  What long-term impact do you wish to have? 3. Investigate your data:  Always check your data manually, and look at distributions of relevant features in your dataset, to discover patterns. You should be doing this anyway so you might as well pay attention to sensitive features, such as demography. 4. Implement simple benchmarks early on:  Don’t stress too much about it, any minimal benchmarks can already bring you closer to a more robust product. You can improve on it later. 5. Monitor benchmarks:  Include fairness benchmarks in metrics you monitor continuously. (If you don’t have a continuous performance monitoring system you should set up one.) 6. If you detect an issue, come up with a simple solution:  Again, perfect is the enemy of good. If you detect an issue don’t panic, come up with a simple solution first which can be improved later. (Unless your product is safety-critical, in which case you might have to turn your service off before you solve the problem.) 7. Follow regulation developments: Allocate some time and resources to follow the development of regulations and methods regularly. If you start early, you won’t find yourself in a situation where either regulations or a scandal around your product takes expensive time and resources away from your team for fire extinguishing. If you need help with building up a future-proof AI strategy feel free to contact me: consonantai.contact@gmail.com https://lnkd.in/dNDAbtHU

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"Foresight without agility is just idle speculation. Agility without foresight is just reactivity.” Keith Ferrazzi’s five-minute foresight practice empowers teams to explore possible futures to strengthen organizational resilience and identify opportunities. All organizations should use foresight to explore and learn from the future. Here is the five-minute foresight practice he proposes: "Reserve five minutes in your regular team meetings for a structured foresight exercise. Each team member takes a turn sharing a signal of change they've observed — a new technology, a shift in customer behavior, a move by a competitor, a regulatory development and so on. The key is to look beyond the obvious and identify early indicators of the risk of potential disruption or opportunity." Team members then consider the potential impact of these signals of change on the organization's industry, customers, and strategy. #foresight #futuresthinking #scenarioplanning #agility https://lnkd.in/ePY_qP6Z

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Transitioning to Human Interaction with AISystems: New Challenges and Opportunities forHCI Professionals to Enable Human-Centered AI. ResearchGate: https://lnkd.in/dDG2cMYY While AI has benefited humans, it may also harm humans if not appropriately developed. The pri-ority of current HCI work should focus on transiting from conventional human interaction withnon-AI computing systems to interaction with AI systems. We conducted a high-level literaturereview and a holistic analysis of current work in developing AI systems from an HCI perspective. ...There is an emerging form of thehuman-machine collaboration in the AI era: human-machine teaming. As HCI professionals, we are not justdealing with the conventional the “interaction”betweenhumans and machines, but also a new form of a human-machine relationship that requires new perspective to study.A significant amount of work has been invested in thearea of human-machine teaming. Initial research suggeststhat humans and AI systems can be more effective whenworking together as a combined unit rather than as individ-ual entities (Bansal, Nushi, Kamar, Lasecki, et al., 2019;Bansal, Nushi, Kamar, Weld, et al., 2019; Demir, Cooke,et al., 2018). For example, the human-human team theoryhelps formulate basic principles: two-way/shared communi-cation, trust, goals, situation awareness, language, intentions,and decision-making between humans and AI systems (e.g.,Demir et al., 2017; Shively et al., 2017),  instead of a one-wayapproach as we currently do in the conventionalHCI context.There are debates on whether AI systems can truly workas a teammate with humans (e.g., Klein et al., 2004;Shneiderman, 2020c), we believe that a common HCAIdesign goal should be shared between both sides to ensurehuman-controlled AI and human-driven decision-making inhuman interaction (or collaboration) with AI (see Figure 1). Humans should not be required to adapt to non-human“teammates;”instead, designers should create technology toserve as a good team player (or super tool) alongsidehumans (Cooke, 2018; Shneiderman, 2020c). HCI professio-nals need to fully understand what the machines really can do. #HCAI #HCI #HumanFactors #Technology #Ethics #AI #DesignGoals #HumanCenteredDesign #HumancenteredAI #UserResearch #MachineIntelligence #HumanIntelligence #HumanControlledAI #AugmentHumanAbilities #Fairness #Justice #Privacy #Accountability #UserInterface #Prototyping

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...talking #micromobility and #ArtificialIntelligence, following my first steps in 1982 with a study of a composite monocoque Heinkel or my first contact with AI in the #MITMediaLab; I recently defined a prompt for GPT-4o to illustrate a post-chat with Ben Macdonald. I explored how a 2030 version of the Heinkel Kabine with solar panels could look like, and I got an AI generated 4-wheel vehicle similar to the Twizzy. I then challenged AI and provided an image of the original Heinkel Kabine 1956, and the AI produced a more relevant version, showing exciting times ahead in the world of micro-mobility and AI! #futuretech #innovation

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How to spin your scientific research out of a university and into a startup   Misconception 1. You can start a company while continuing your academic career Misconception 2. You should find a CEO to run the company Misconception 3. You need someone with business experience on the founding team Misconception 4: You should raise money first, then leave the university   Credit: Jared Friedman (Y Combinator Partner)   You can read the full article 👇 https://lnkd.in/dnkA4gC9

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Before you write a line of code, engage the market - not to confirm your biases but to discover whitespaces, signals, & the magical something that makes your solution "desirable, viable and buyable". Founders fall into the trap of hiding behind their computer screens, doing everything but actually speaking to prospects. A survey is not ICP engagement. 1️⃣ Early days you have to catch your customers by hand. Relentless outreach, more calls, more follow-ups. There is no cheat code, spray and pray doesn't work; it’s you, doing the work, one prospect at a time. 2️⃣ So many founders start building their product or rolling out new features without taking the idea on a roadshow. Continuously validate assumptions, refine your messaging until you get to something that works, then never stop. 3️⃣ This is a game, with guidelines, opponents, players, stadiums, rules, partners, referees and an audience. More hunger games than beach volleyball. 🎯 The key for most founders is just getting going, figuring out how many steps lie between a call and a close, developing a playbook to follow, and building a cadence. via StartUp To ScaleUp newsletter This is the 5:5:5 methodology for getting on with it. 👇👇 https://lnkd.in/gac5Gzs8

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Why Stanford d.school's Design Thinking Framework Sucks https://lnkd.in/eRwEFCnP #innovation #innovatie #innovationmanagement #sustainableinnovation #innovate #InnovationForEveryone #Innovations #innovationweek #startup #innovators #disruptive #disruptor #tudelft #TNO #Sustainability #sustainable #innovative #SpaceX #ElonMusk #NASA #servicedesign #machinelearning #deeplearning #mindset #productdesign #uxdesign #productmanagement #creativity #leadership #entrepreneur #innovatie #employeeengagement #Sustainability #sustainable #design #innovation #circulareconomy #circular #engineering #ecofriendly #books #university #spacex #designthinking #design #designinspiration #designer #sustainable #designerwear #designstudio #designinterieur #interiordesigning

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[New Article] OpenAI’s ChatGPT-4o: The Good, the Bad, and the Irresponsible Last week, OpenAI announced the release of GPT-4o (“o2 for “onmi”). To my surprise, instead of feeling excited, I felt dread. That feeling hasn’t subsided and it’s well founded. In this article, I go in detail about the announcement, including  - The reinforcement of the stereotypes - guess whose voice is on the demos?  - Anthropomorphism - Waving of responsibility - Promotion of pseudo-science And many others. I also demonstrate that this is not “a glitch” but OpenAI's blueprint. Until when will our governments let Sam and the team run the show? #WomenInTech #GenderBias #GenderEquality #GenderEquity #Deepfakes #EthicalAI #InclusiveAI #TrustworthAI #AIFluency #AILiteracy https://lnkd.in/ewtiFe4M

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I want to create a system dynamics model that identifies leverage points for effecting change within a paradigm of degrowth. It would be great to have an interdisciplinary reference group of academics, practitioners, facilitators, and others working in degrowth, climate and environmental justice, regenerative agriculture and soil health, peace work, decoloniality, complementary health, food systems, to join me for an hour every fortnight on Zoom, to cocreate this with me. I envisage that once the model is built, it will be the basis for education, toolkits, a board game, a web-based game and other resources to move this work forward in a bottom up, emergent, organic way. Please private message me if you have an interest and would like to collaborate or to join just as a learning exercise. #degrowth #systemdynamics #regenerative #hope

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