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Date: September 17, 2025

Time: 2:30 PM to 4:00 PM

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Date: October 8, 2025

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Date: October 29, 2025

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Date: 12/11/2025

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Date: November 26, 2025

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Date: March 4, 2026

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Date: December 3, 2025

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Date: March 18, 2026

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Date: April 8, 2026

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Speaker - Fernando Gomes de Oliveira Dias Neias

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Speaker - Fernando Gomes de Oliveira Dias Neias

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https://www.linkedin.com/in/fernando-gomes-de-oliveira-dias-neias/

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https://www.linkedin.com/in/mauricioboff/

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https://www.linkedin.com/in/jorge-ferreira-junior-0106a737/

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https://www.linkedin.com/in/rodrigo-chaves-serafini-9061522b/

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https://www.linkedin.com/in/mayra-fonseca/

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https://www.linkedin.com/in/iuriandreazza/

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https://www.linkedin.com/in/msoledade/

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https://www.linkedin.com/in/thiagobreyer/

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Date: April 22, 2026

Time: 2:30 PM to 4:00 PM

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What is Digital Literacy? | Cultivating Digital Literacy

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Os 7 Níveis de Consciência da Consciência Sistêmica

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How To Be Decisive In Ambiguous Situations

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As artificial intelligence (AI) reshapes our world, the next generation of authentic leaders must understand its immense potential and its ethical challenges. Building the AI-enabled future workforce means preparing students to navigate this complex digital landscape. It requires more than technical skills-it calls for a critical mindset and a moral foundation.

AI Literacy Prepares Future Leaders To Make Thoughtful Decisions

Incorporating AI literacy and media literacy into education fosters these qualities. By teaching students to question the information they consume, explore the societal implications of AI, and develop ethical decision-making skills, educators can lay the groundwork for thoughtful, responsible leadership. These three key strategies can make this happen:

1. Teaching Critical Thinking through Media Literacy

Media literacy has become a cornerstone of critical thinking in an age of deepfakes and algorithmically curated content. Teaching students to analyze the origins, context, and biases of the digital content they encounter is essential to combat misinformation and manipulation.

Media literacy programs that integrate AI-specific elements have shown promising results. For example, teaching students how to identify manipulated images or question the motivations behind AI-generated text sharpens their ability to detect falsehoods. Research cited by the American Psychological Association indicates that such approaches empower students to think critically about the information they consume while fostering a sense of responsibility in their digital interactions.

To implement this effectively, educators can incorporate real-world exercises. For instance, students could evaluate how algorithms shape their newsfeeds or analyze the ethical implications of viral AI-driven campaigns. These activities teach students to engage thoughtfully with digital content rather than passively absorbing it. Programs like the AI4K12 initiative-which provides curated resources and a community for teaching AI in schools-offer a practical model for integrating these lessons into curricula.

2. Understanding AI's Ethical Potential and Risks

As AI becomes increasingly integrated into all apsects of society-from predictive policing to personalized education-future leaders must grasp both its potential and its ethical challenges. Decisions about AI often involve navigating trade-offs between innovation and accountability, efficiency and fairness. Teaching students to understand these trade-offs equips them to lead responsibly in an AI-driven world.

For example, AI can enhance efficiency by automating recruitment or financial forecasting tasks. But these tools often amplify biases present in their training data. Ethical concerns about transparency and fairness must guide their use. Educators can present real-world scenarios that force students to wrestle with these dilemmas. Students could debate whether a predictive policing algorithm designed to optimize resource allocation inadvertently reinforces systemic bias.

Another key area to explore is AI's environmental and societal footprint. Technologies like large-scale language models consume vast energy, raising questions about sustainability. Additionally, privacy concerns surrounding AI's pervasive data collection practices should be a central topic in these discussions. By exploring these themes, educators can help students understand the far-reaching implications of their choices as leaders.

Finland's "Elements of AI" course provides an excellent framework for these lessons. This national initiative, freely available to all Finns, blends technical understanding with discussions about AI's broader impact. Expanding access to similar resources can ensure that students worldwide are prepared for ethical leadership in an increasingly interconnected world.

3. Adopting 'Distrust By Design' to Foster Analytical Thinking

Encouraging students to approach digital content with a healthy dose of skepticism-often called distrust by design-is vital in today's AI-driven landscape. While trust is often seen as a virtue, caution is a more appropriate guide when it comes to tech.

This mindset is key to preparing future leaders for the challenges of an AI-driven world. "By instilling a sense of caution, we teach students to approach AI-generated content with a more analytical mindset," says Ivana Bartoletti, Global Chief Privacy & AI Governance Officer at Wipro. "This encourages them to question the source, understand its limitations, and engage in discussions about ethics, privacy, and the broader implications of AI in society."

This approach teaches students to question the reliability of AI-generated content, scrutinize its sources, and identify potential biases. A critical yet constructive mindset ensures students don't fall victim to misinformation or manipulation. This method emphasizes that effective media literacy is about identifying falsehoods and understanding the motivations behind digital narratives.

For educators, practical applications of distrust by design include assignments where students critically evaluate AI-generated news articles or deconstruct how recommendation algorithms influence their online experiences. By engaging in these activities, students develop habits of inquiry and verification that serve them well beyond the classroom.

The societal benefits of this approach are clear: Equipping students with analytical skills protects them from misinformation and empowers them to participate in broader conversations about AI's role in shaping public discourse. We build a more informed, resilient society by fostering a generation that thinks critically and skeptically.

Prepare The Next Generation To Lead Responsibly With AI

As AI continues to shape our society, future leaders must be prepared to balance technological innovation with ethical responsibility. Integrating AI literacy, media literacy, and ethical discussions into education can empower the next generation to question, analyze, and lead with integrity.

The goal is not simply to produce technologically proficient individuals but to cultivate leaders capable of driving innovation while upholding fairness, transparency, and accountability. Educators, policymakers, and business leaders alike have a role to play in making this AI vision a reality-ensuring that students are prepared for the digital age and are equipped to responsibly shape its future.

As a pioneer in personal branding and expert in virtual communication, William Arruda empowers professionals to shine online. Join his free webinar: Deliver Captivating Virtual Presentations and Meetings on Tuesday, Jan 5, 2025 at 12pm ET.

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AI Literacy: Why It's Essential for Future Leaders

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Learn why AI literacy is critical for ethical leadership in the digital age and how education can prepare tomorrow's leaders for AI-driven challenges.

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https://www.linkedin.com/in/iuriandreazza/

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Digital Literacy ans Transformation - Study Guide

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Digital Literacy ans Transformation - Study Guide

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Digital Literacy and Transformation - Study Guide

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Learning how to learn | Barbara Oakley | TEDxOaklandUniversity

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If the ultimate goal of education is to prepare students for successful futures after they leave our schools, we should prioritize those long-term outcomes.

getty

With graduation season in full swing, many students and their families are deservedly celebrating a major milestone. Successfully completing high school or college is a great accomplishment; but when "Pomp and Circumstance" fades into the background and the graduation parties are over, how do we know whether education has actually provided students with what they need for their futures?

The true marker of success in education shouldn't be the graduation cap; it's what happens after the tassel is turned.

Traditionally, our measures of educational outcomes have been pretty basic and not directly related to how graduates are using their education to improve their lives and their livelihood beyond school. Success has largely been measured by the number of students who graduate from high school or a postsecondary program, along with test scores designed to assess their knowledge and skills at a given point in time. These things are undoubtedly important, but graduation rates and test scores alone do not tell the full story of whether education is equipping students with the knowledge and skills necessary to build well-paying careers and actively contribute to their communities.

It's time to think differently about how we measure success in our education systems-both K-12 and higher education. If the ultimate goal of education is to prepare students for successful futures after they leave our schools, we should prioritize those long-term outcomes.

A new report from Education Strategy Group and American Student AssistanceⓇ examines how all 50 states are approaching the complexities of measuring long-term success in both K-12 and higher education. Though many states are making good faith efforts to capture data to better understand how education impacts students in the next phase of their lives, the report finds that too few are currently attaching meaningful incentives to reward schools and colleges for improving students' postsecondary and workforce success.

More specifically, at the K-12 level, while many states now include college and career readiness metrics in their performance goals for high schools, just eight states extend their models to include measures of how high school graduates ultimately do after they graduate and get to college and the workforce. In higher education, only six states use measures of how students do in the workforce after leaving postsecondary institutions to inform funding decisions.

If we want to ensure that K-12 graduates do well in college and careers, and that college graduates, in turn, do well in the labor market, leaders at all levels of the education system need better, timelier and more detailed information about those outcomes. That information also needs to be attached to real incentives-including serving as part of funding and accountability models-to drive change. Leaders can only make changes to improve outcomes if they first have an understanding of what those outcomes are; otherwise, they are flying blind.

Part of the challenge in doing this well lies in the historical siloes that exist between K-12 education, higher education and the workforce. Each sector has developed its own measures and data systems over time, making it difficult to connect them and track a student's progress and outcomes over time and across sectors.

Fortunately, a few states are leading the way in demonstrating what it looks like to build the infrastructure needed to understand long-term outcomes. Kentucky's KYSTATS database sets a gold standard for data systems by collecting and integrating education and workforce data to offer policymakers and the public a more complete picture of how the systems connect to one another. This resource is a one-stop shop for understanding how the education to workforce continuum in Kentucky-from K-12 to postsecondary to employment-is serving Kentuckians. As an early leader in this work, Kentucky has offered a blueprint for other states to emulate in building their own systems to understand long-term outcomes.

With better systems in place, more states can and should hold themselves, their schools and their colleges accountable for the outcomes that matter the most for students' long-term economic well being. Though there is a long way to go, a select few states are stepping up in meaningful ways.

Vermont is the only state to include employment outcomes in its federal K-12 school accountability system. The state's Post-Secondary Outcomes indicator measures the percentage of graduates who enroll in college or trade school, enlist in the military or work full time in a job. By attaching this measure to formal accountability, Vermont plans to hold K-12 schools partially responsible for setting students up for long-term success.

On the financial side, Texas is leading the way by providing incentive funding to both K-12 districts and higher education institutions attached to the long-term measures that matter most. For K-12 districts, the state funds a College, Career and Military Readiness Outcomes Bonus by which districts can earn bonus funding when they increase the number of high school students who enroll in higher education or complete an industry-recognized credential. Similarly, the state's new outcomes-based funding model for community colleges provides funding based on the number of learners who earn credentials of value rather than the traditional approach of funding colleges based on the number of students enrolled in classes.

These changes in performance goals and funding levers are making a difference with schools. The financial bonuses for Texas high schools have driven higher participation rates in the college and career readiness offerings, and although it's early, the new funding formula for community colleges is shifting the emphasis toward credential attainment and readiness for careers.

Long-term outcome measures aren't only important for driving the performance of education institutions. This information needs to be shared with students and their families so that they can make informed choices about which options to pursue.

Some of the states with the best information are taking steps to use it to empower consumers, particularly when it comes to making informed choices about higher education.

Kentucky's Students' Right to Know dashboard, which is powered by KYSTATS, is a student-facing tool that allows users to see job projections, salary information and where programs are offered for different majors. Even more impressively, Kentucky and its neighbors in Ohio, Indiana and Tennessee are addressing the challenge of gathering wage data for college graduates who move out of state by linking data in what they are calling a Multi-State Postsecondary Report.

Colorado, too, is helping students and institutions to understand the potential return on investment in higher education. Students can use the earnings outcomes dashboard to make informed decisions based on projected earnings by institution and major. The state also produces an annual return on investment report and is working to develop a "minimum value threshold" to ensure that institutions are only offering programs that will pay off for students.

While data and measurement might not be the flashiest topics in the education debate, they are among the most foundational. Centering long-term outcomes as core drivers of our educational priorities will help expand economic mobility for all. We need to think differently about success-and do a better job of measuring it-to improve outcomes for every student.

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If the ultimate goal of education is to prepare students for successful futures, it's time to think differently about how we measure success in our education systems.

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#31 Barbara Oakley: Learning How to Learn

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To Save The Planet, We Need Systemic Change—But Your Individual Choices Still Matter

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No, you alone can’t end the climate crisis by recycling or eating less meat. That doesn’t mean it’s not worth doing.

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Fritjof Capra │Systems Thinking, Science and Ethics driving a paradigm shift

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Listen to this episode from Earth Charter Podcast: Turning Conscience Into Action on Spotify. Fritjof Capra comments on key ideas from his books and his work advocating for a shift from a mechanistic worldview to a systemic and ecological perspective. He argues that the mechanistic thinking model has failed to address the complexities of our world.

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Leadership Confidential with Lena Reinhard

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Leadership Confidential with Lena Reinhard

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How To Build A Culture Of Experimentation

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Building a culture of experimentation is more than a trendy idea, it is a survival strategy

getty

Imagine a workplace where taking risks isn't just encouraged but expected. A place where employees feel empowered to share their bold ideas, their insights, and even their concerns without fear of being dismissed. It is a "culture of experimentation," and it's more than a trendy phrase-it's a survival strategy.

As Steve Jobs said, "Innovation is the ability to see change as an opportunity-not a threat," a crucial mindset for businesses looking to stay competitive in today's rapidly evolving landscape. Fostering this kind of culture is easier said than done, so how can leaders create an environment where experimentation thrives?

Why Foster a Culture of Experimentation?

1. To Stay Competitive

In his article Building a Culture of Experimentation, Stefan Thomke describes how Booking.com stays ahead by continuously experimenting. They don't wait for the next big thing to come along; they test and tweak constantly, finding out what works. In contrast, sticking rigidly to a plan without adaptability is like driving with your eyes closed.

Dan Rogers, CEO of LaunchDarkly, highlights this necessity, emphasizing the importance of integrating experimentation with the development process itself. He explains, "What if you could bring experiments and software features together, allowing product managers, marketers, and data scientists to have visibility and input into the process? Ultimately, though, the control over the feature remains at the software level." This developer-driven approach keeps companies competitive, allowing them to test new features seamlessly and adapt quickly.

2. To Retain Top Talent

No one wants to work in a place where creativity feels stifled. A culture of experimentation fosters an environment of high trust, where employees are not just allowed but encouraged to make mistakes. This kind of atmosphere makes the work exciting, meaningful, and, quite frankly, a lot more fun. Companies that embrace this approach often find it easier to retain their brightest talent.

As Rogers points out, "Our notion of 'How do you create experimentation as a mainstream culture?' is to bring it into the realm where the feature resides." This democratization of experimentation gives employees across departments-whether developers, product managers, or marketers-input into the process. By making experimentation more inclusive and accessible, businesses not only foster creativity but also create an environment where top talent wants to stay.

How to Create a Culture of Experimentation

1. Create a Psychologically Safe Environment

Imagine a meeting where everyone feels free to speak up-even if their idea seems a little unconventional. That's the power of psychological safety. If your team is afraid of getting shot down, you'll never unlock their full potential. Amy Edmondson, in her book The Right Kind of Wrong, notes how the tragic Challenger disaster could have been avoided if the right people had felt comfortable speaking up. Psychological safety is key to experimentation-people need to feel secure enough to take risks and learn from them.

2. Fail Smart, Not Hard

Failing smart doesn't mean being reckless. It's about taking calculated risks and learning from mistakes. Dan Rogers speaks to this mentality, saying, "Velocity and execution are key-maintaining a constant drumbeat of innovation, shipping software fast." LaunchDarkly releases 60 to 70 updates daily, continuously testing and gathering real-time feedback. This rapid iteration allows them to "fail smart"-learning from small, manageable failures and improving quickly.

3. Make Data Your Best Friend

Experimentation isn't about throwing things at the wall to see what sticks. Data should guide your decisions. Adam Savage's quote, ""In the spirit of science, there really is no such thing as a 'failed experiment.' Any test that yields valid data is a valid test,"" underscores this idea. Large-scale experimentation only works when you're measuring results.

The Double Competitive Advantage

Companies that embrace experimentation don't just stay ahead of the competition-they also build teams that want to stick around for the ride. It's like getting a two-for-one deal at your favorite store, only this time, the prize is both business success and employee retention. Who wouldn't want that?

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Why Building A Culture Of Experimentation Is Worth The Risk

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A "culture of experimentation" is more than a trendy phrase-it's a survival strategy for a competitive edge and to retain top talent.

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S5E3: Eppo, Datadog & The Future of Experimentation | Ryan Lucht on Advanced Testing & Culture

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Culture of Experimentation and Smart Failures

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What A Simple Question Reveals About The Most Dangerous Cognitive Bias

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DEI Won’t Die: Why True Diversity Is A Superpower In Innovation

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When every perspective is valued, equity is a given and inclusion is a priority, we don’t just succeed; we redefine what success looks like.

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Why Diversity Drives Innovation - Judith Williams

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DEI Won’t Die: Why True Diversity Is A Superpower In Innovation

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When every perspective is valued, equity is a given and inclusion is a priority, we don’t just succeed; we redefine what success looks like.

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https://www.linkedin.com/in/matthias-schneider-b68982b/

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Listen to this episode from Comparative Agility on Spotify. In this episode we speak with Esther Derby The Managing Complexity capability that helps organizations assess their leadership approach in three critical domains.By understanding their team's performance in these domains, organizations can identify areas for improvement and adopt a more effective leadership style suited to today's complex business environment.

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Solving Complex Problems with Design Thinking — with Jared Lee | Level Up Webinars

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The ultimate question herewith is not about what we’ve invented or when we’ve done it. It is, rather, the choice we make in how we use these things.

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Artificial Intelligence Advances, and the Ethical Choices Ahead

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Episode 76 - AI at a Crossroads: Humanity, Ethics, and the Future Ahead

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https://www.linkedin.com/in/iuriandreazza/

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I'm a technology expert, a nerd by nature, a geek by choice. I like developing projects… · Experience: Noûs · Education: PUC Minas · Location: Porto Alegre · 500+ connections on LinkedIn. View Iuri Andreazza’s profile on LinkedIn, a professional community of 1 billion members.