Digital Transformation Lab

Understanding Algorithms: Are We Doing Enough to Educate Young People? The YouNDigital project has shed light on a crucial gap in digital literacy. While some young people have a basic understanding of how algorithms shape their news feeds, many lack the depth of knowledge needed to engage with this technology critically. Even those aware of algorithms often see them as distant or mysterious forces, leaving their influence unchallenged. 🔑 Key Insights from Research: Five Profiles of Understanding: Young people range from seeing algorithms as human-like entities (mystified and distant) to embracing their benefits without critical reflection. Alarmingly, a significant group has no awareness of algorithms at all. Self-Learning Dominates: Most rely on informal learning through social media, friends, or family. Schools are often absent, focusing only on technical aspects rather than on the broader societal implications of algorithms like bias, diversity, or privacy. Why This Matters: Without critical engagement, algorithms can reinforce biases, limit perspectives, and exclude diversity—turning tools of empowerment into drivers of inequality. 💡 Questions We Should Be Asking: How can we ensure that algorithm literacy becomes part of formal education? Should media platforms and influencers be more active in promoting digital literacy? What strategies can bridge the gap for those without access to structured learning opportunities? As algorithms increasingly shape the flow of information, they also influence how people perceive the world and engage with societal issues. This has profound implications for democratic participation and decision-making. 🗳 The Big Question: How can we equip young people to critically evaluate algorithmic influence and ensure that digital systems foster informed, inclusive democratic engagement rather than division? Nicolas Babin Mirko Ross Pierre Pinna Mia Shah-Dand Julia Kauppert 🚀 Ellen Schramke Judith Wiese Vernon Sankey Mei Lin Fung David Bray, PhD Paidi O Reilly Mia Shah-Dand Jorge Cunha Zeina Zakhour Rob van Kranenburg Jean-Baptiste Lefevre Dinis Guarda Claudia Mendes Silva Peter Koerte Rainer Brehm Margherita Adragna Oliver Kleinhenz Dr. Natalija Krivokapić Azita Esmaili Ulli Waltinger Thomas Power Efi Pylarinou Bjorn-Soren Gigler, PhD Scott Luton Ian Gertler Prof. Amanda Kirby MBBS MRCGP PhD FCGI Tamara McCleary Lauren C. Lobrano Paula Howard Katharina Pusar Philipp Bohn Neil Milliken Debra Ruh Puneet Singh Singhal #DigitalLiteracy #Algorithms #Education #YouthEngagement #Inclusion #CriticalThinking

40% of Work Hours to Transform by 2029: GenAI Set to Reshape Global Workforce. The most recent analysis from the WEF reveals a significant transformative potential for Generative AI in the workforce, with projected impact on 40% of global working hours within five years. The research indicates a clear paradigm shift from full automation concerns to job augmentation opportunities, where GenAI serves as a collaborative tool rather than a replacement technology. Critical adoption metrics show current penetration remains modest, with only 12% of workers using GenAI daily, while 37% have never engaged with the technology professionally. This adoption gap presents both challenges and opportunities for organizations. The data suggests that successful implementation hinges more on human factors than technological capabilities, with trust emerging as a fundamental barrier to widespread adoption. The market demonstrates a strong forward momentum, with GenAI investments projected to grow by 60% over the next three years. However, the analysis identifies four key barriers that organizations must address: trust deficits, skills gaps, cultural resistance, and unclear business value propositions. Organizations that effectively navigate these challenges while implementing robust governance frameworks will likely emerge as market leaders in the GenAI transformation landscape. Looking ahead, we anticipate a bifurcation in the market between organizations that successfully leverage GenAI for productivity gains (potentially reducing task completion times by up to 50% for one-third of job tasks) and those that struggle with implementation. Success factors will increasingly center on human-centric deployment strategies, comprehensive skill development programs, and clear frameworks for responsible AI usage. With such dramatic productivity gains possible why are only 12% of workers using GenAI daily? What's holding organizations back? Source: World Economic Forum Report "Leveraging Generative AI for Job Augmentation and Workforce Productivity" (November 2024) #FutureOfWork #AI #Innovation #Leadership #DigitalTransformation

The Global AI Race: Insights from Stanford's Global Vibrancy Tool 2024. The AI race is heating up, and nations worldwide are vying for dominance in this transformative field. The Global Vibrancy Tool 2024, developed by the Stanford Institute for Human-Centered AI, offers a comprehensive, data-driven analysis of the AI ecosystems of 36 countries. By aggregating 42 key indicators, the tool provides valuable insights into the global AI landscape. According to the report, "The U.S. has the world's most robust AI ecosystem and outperforms every other country by significant margins." In 2023, the U.S. attracted an impressive $67.2 billion in private AI investment, dwarfing China's $7.8 billion. The tool highlights the U.S.'s leadership in producing high-quality AI research and notable machine learning models. While China holds the second position, the report suggests that "the U.S. is quickly pulling away" in the AI race. However, China maintains its lead in AI patenting, demonstrating its commitment to protecting intellectual property in this domain. Interestingly, the Global Vibrancy Tool also sheds light on the increasing prioritization of AI by various nations. The report states, "The Global Vibrancy Tool illustrates how AI has increasingly become a political priority for various nations and how this focus can improve a country's AI vibrancy." Countries such as the United Arab Emirates and the United Kingdom have taken significant steps to establish themselves as global leaders in AI. As Vanessa Parli, director of research at Stanford HAI, notes, "The Global Vibrancy Tool, unlike any other AI-related national index, is unique in allowing users to adjust weights and assign varying values to indicators." This flexibility acknowledges the diverse perspectives on what defines a country's AI standing. The launch of the Global Vibrancy Tool marks an important milestone in understanding the global AI landscape. As Parli optimistically states, "We are crossing our fingers that the tool can open the door to new data-driven collaborations between HAI and countries across the world." #AI #GlobalAIRace #ArtificialIntelligence #Innovation

Congrats to all involved, and thank you again to Network Ireland Cork for the opportunity to be involved. #ai #artificialintelligence #generativeai #digitaltransformation

The Digital Transformation Lab was proud to collaborate with Network Ireland Cork last Wednesday evening with Paidi O Reilly and Tony Moroney exploring "AI Literacy: Unlocking Productivity and Innovation". The level of interest in #GenerativeAI was incredibly high, and we were thrilled with the fantastic engagement from the audience. Their thought-provoking questions added immense value to the discussion. Thank you 🙏 Thank you, Network Ireland Cork, for the invitation— and thanks to our MC, Siobhàn O'Leary and Susana Marambio, President of Network Ireland Cork. Many thanks also for the support of Cork University Business School and the Digital Transformation Lab committee members and friends, including Paidi O Reilly (Chair), Tony Moroney (Secretary), Darragh O'Riordan, Antonio Vieira Santos, Gráinne Bagnall, JB McCarthy PhD, Kenneth Russell, Stephen McCarthy, Dr Michael Twomey PhD. and Dr. Anne-Marie Smith. #artificialintelligence #aiskills #airisks #ailiteracy #aigovernance #LLMs #digitaldisruption #digitaltransformation #businessmodelinnovation

🚨 Breaking News: EU Considers Major Shift in Artificial Intelligence Liability Approach. The European Commission is contemplating a significant change to its AI liability framework, potentially transforming the EU AI Liability Directive into a Software Liability Regulation. This move could have far-reaching implications for the tech industry and AI developers. Here are the key takeaways: Proposed Changes • Shift from a directive to a regulation, ensuring uniform application across all EU member states • Expansion of scope to cover all software, not just AI systems • Introduction of a rebuttable presumption of causality for software defects Potential Impact • Increased liability risks for software developers and companies • Greater consumer protection and easier claims process for damages caused by software • Possible slowdown in innovation due to heightened legal concerns What's Next? The proposal is still under discussion, with the European Parliament and Council yet to reach a final agreement. #AIAct #EUTechPolicy #ArtificialIntelligence #EuropeanUnion Azita Esmaili Boris Scharinger Dinis Guarda 🚀 Ellen Schramke Rob van Kranenburg Mirko Ross Armando Vieira Dr. Natalija Krivokapić Philipp Bohn Bernd "Benno" Blumoser Ulli Waltinger Jorge Cunha Sarbjeet Johal Dion Hinchcliffe David Bray, PhD Nicolas Babin Pierre Pinna Thomas J. Dettling Kevin O'Donovan Dr. Ralph-Christian Ohr Timothy "Tim" Hughes 提姆·休斯 L.ISP Tony Moroney Paidi O Reilly Pascal BORNET Efi Pylarinou

The Digital Transformation Lab is proud to collaborate with Network Ireland Cork to explore AI Literacy: Unlocking Productivity and Innovation. Paidi O Reilly and Tony Moroney will join MC Siobhàn O'Leary at the Metropole Hotel on Wednesday, October 2nd, for an interactive session with Network Ireland Cork members. "This session isn’t just about learning—it's about thinking and talking AI, with examples and discussions to help members with their AI journey." Event Link: https://lnkd.in/et8Kefh9 Cork University Business School #ai #artificialintelligence #generativeai #LLMs #ailiteracy #aiskills #airisks #innovation #businessmodelinnovation #digitaldisruption #digitaltransformation

Come explore AI with Network Ireland Cork! Without any of the jargon and in a collaborative space 🤔 👩💻 Join Tony Moroney, Paidi O Reilly, and MC Siobhàn O'Leary as they guide us through a practical event that demystifies AI and chats about its potential to help make your business more efficient, cost-effective, and competitive, while also enhancing your skills and career prospects. This event is designed for business owners, managers, and career professionals alike who want to understand how AI can bring value to their work—without getting lost in tech jargon. Whether you're just starting to explore AI or have already experimented with it, this session will provide valuable insights. 📩 Register now: https://lnkd.in/et8Kefh9

The rise of AI presents new opportunities to enhance inclusion in customer service but also introduces challenges. To truly embody the spirit of the Americans with Disabilities Act and the new European Accessibility Act, companies can take five key actions: - Design with inclusion in mind from the start. - Repurpose automation gains to support complex needs. - Use multiple communication channels. - Promote socially responsible practices. - Involve individuals with lived disabilities in AI development. Accessibility should be integral in shaping the future of AI-driven customer experiences. How can organizations leverage AI to create more inclusive customer experiences? #Accessibility #AI #CustomerService #Inclusion #Leadership #Innovation

In the era of rapid innovation, Digital Twins are revolutionizing how we approach mission-critical systems. Initially inspired by NASA's efforts during the Apollo 13 mission, today's digital twins are digital replicas of real-world entities that provide high-fidelity simulations powered by IoT sensors and AI-driven insights. But there’s a challenge: data scarcity. Many industries that stand to benefit most from digital twins, like heavy construction or smart building technologies, often operate in data-poor environments. This is where traditional AI falls short. We’re seeing the rise of human-informed AI at the forefront of this evolution. By combining human expertise with artificial intelligence, organizations can make smarter, faster decisions even with limited data. This hybrid approach helps businesses: -Navigate new market domains more effectively -Accelerate R&D and innovation -Enhance safety and reduce costs in complex environments As digital twins move beyond their infancy, the potential for virtual experimentation in product development and complex system management is staggering. The future is in blending human knowledge with AI to unlock the full potential of digital twins. What are your thoughts on the future of Digital Twins and AI? How is your organization preparing to leverage these technologies? #DigitalTwins #AI #Innovation #IoT #Technology #TechInnovation #DataScience #DigitalTransformation https://lnkd.in/dXY6UcWj