The AI Roadmap

🔥 Tucker Carlson, the former Fox News anchor, openly criticized #transhumanist beliefs at the World Governments Summit (WGS) in Dubai, 2024. He expressed concerns over the notion of using technology to create a superior human, labeling such beliefs as a dangerous lack of self-awareness regarding human limitations. Carlson divided the world into those who see themselves as almost godlike, capable of reshaping human existence through technology, and those who recognize and accept their human limitations, suggesting that true wisdom lies in understanding one's own non-omnipotence. He specifically addressed the enthusiasm for biohacking, the practice of modifying the human body through technology, cautioning against the potentially disastrous outcomes of such endeavors. Although he did not name him directly in his speech, Carlson's critique seemed to target figures like Klaus Schwab, the #WEF World Economic Forum founder and a proponent of #transhumanism, who had spoken at the WGS about integrating technology with human needs and aspirations. Additionally, Carlson touched upon his personal battles with U.S. intelligence agencies, particularly regarding their efforts to block his interview with Russian President Vladimir Putin. He criticized the domestic surveillance conducted by agencies meant to operate internationally and affirmed his commitment to advocating for a free society. 🔥 Does transhumanism have a future? 🌐 Its is important to balance innovation with wisdom: I would advocate for balancing the pursuit of technological innovation with wisdom and ethical consideration. This balance is critical in ensuring that advancements contribute positively to human society without compromising our values or well-being. The goal should be to harness the power of AI and biotechnology in a way that enhances human capabilities and improves quality of life while being mindful of the ethical, social, and existential risks associated. Source: IFAMNEWS https://lnkd.in/eXfEUwFX

🚀 Apply Now: AI Ecosystem Accelerator programme. NovaUCD is now seeking applications from start-ups which are developing novel AI products/services for its exciting new 6-month AI Ecosystem Accelerator programme. The aim of this accelerator programme, run in partnership with CeADAR Ireland and funded by the European Digital Innovation Hubs Network, is to support entrepreneurs who are developing AI solutions for a global market. The deadline for receipt of applications is 16 February. The programme will being in April and conclude with a demo day in September. We look forward to advancing your AI start-up through the AI Ecosystem Accelerator programme. Find out more about the programme: https://lnkd.in/e2cmbypk Apply for the programme: https://lnkd.in/eCQVt4FG European Digital Innovation Hubs Network Enterprise Ireland #aiadvancements #startup #aibusiness

Thanks for all the nice messages about The AI Roadmap Seminar for SMEs at the FDI Landing Hub, Dublin was a big hit, thanks to engaging presentations on AI strategies, funding opportunities and the AI services available to SME's. Kevin J. Neary from Orcawise outlined a comprehensive 5-step process for SMEs to effectively manage AI projects, emphasizing the necessity for responsible AI practices using the R.E.S.P.E.C.T. framework. Laura Plunkett from CeADAR Ireland EDIH highlighted EU / State funding opportunities, associated CeADAR EDIH programme services and introduced the new AI Accelerator at NovaUCD, University College Dublin run in partnership with CeADAR Ireland. Yulia Lunev, Microsoft showcased the productivity-boosting capabilities of Microsoft Copilot. Its was wonderful to see the efficiencies of AI in action! Keep an eye out for upcoming AI Roadmap seminars in Dublin, New York, Chicago, London. A heartfelt thanks to the team behind the scenes for ensuring the event's success Carmel McLoughlin, Sanpreet Singh, Catriona Maye - Bank of Ireland, and Catriona's team at the Bank of Ireland, St Stephens Green Branch. #IDAIreland #EnterpriseIreland #BankOfIreland

MORE RESPONSIBLE AI IN 2024 😀 the AI industry is evolving, and so are the discussions around responsible AI. 🌐 As we move towards 2024, there is a growing emphasis on equitable and human-centered advancements. 🌐 Efforts are underway to diversify AI leadership and representation, with a focus on inclusivity in technology. 🌐 Nonprofits are also using AI to address societal challenges, creating AI-driven products. 🌐 Additionally, global AI regulation remains a priority with initiatives like the EU's AI Act and Biden's executive order. 🌐 The UN and civil society groups are also working on frameworks for responsible AI development and deployment, emphasizing trust, community needs, and shared digital principles. These trends point to a concerted effort to make AI development more responsible and inclusive in 2024.

The U.S. government is actively progressing in AI regulation following President Biden's 2023 executive order. Key developments include: 🌐 The Department of Commerce enforcing AI system developers to report crucial data to the government under the Defense Production Act. 🌐 The Office of Personnel Management's initiative to streamline the hiring of AI experts in federal agencies. 🌐 The Office of Management and Budget's draft policy to enhance AI governance and risk management in federal usage. 🌐 The Small Business Administration focusing on AI for its 2024 growth accelerator fund competition, offering substantial investments to innovative small businesses in emerging technology. 🌐 These measures are crucial for AI specialists and entrepreneurs in aligning with government standards and leveraging opportunities in the evolving AI landscape. #theairoamap #orcawise https://lnkd.in/dn-NFKwT

Google's AI Ethics Watchdog Undergoes Changes 😀 🔍 Introduction: Google's AI ethics team, responsible for ensuring compliance with AI development rules, faces uncertainty after its leader's departure. 🚀 Key Points: 1. Sundar Pichai, Google's CEO, prioritized responsible AI in the company's 2024 goals. 2. The Responsible Innovation team (RESIN) within Google's global affairs division conducted crucial reviews for AI projects, including the Bard chatbot. 3. RESIN's restructuring comes after the departure of its leader, Jen Gennai, indicating a potential shift in the team's function. 4. The team, divided into two, now has roles in both the Office of Compliance and Integrity and the trust and safety team. 5. Despite changes, Google spokesperson highlights continued commitment to responsible AI. 🔗 Summary: Google's RESIN team, instrumental in AI ethics, is undergoing significant changes with its leader leaving and the team being restructured. This development raises questions about the future of AI ethics oversight at Google, especially as the company competes in generative AI. The reorganization aims to integrate responsible AI efforts more deeply into Google's trust and safety efforts, yet specifics remain unclear. These changes reflect broader trends in tech companies balancing rapid AI development with ethical considerations and public trust. Source: https://lnkd.in/gFg66sQP #airoadmap #orcawise

Responsible AI is a Necessity! President Biden's executive order on AI highlights the need for AI-skilled workforce. 🌐 The order encourages safe, secure, and trustworthy development of AI. 🌐 New job roles are emerging at the intersection of technology and responsibility. EMERGING OPPORTUNITIES 🌐 Demand is rising for skills in machine learning, cloud computing, natural language processing, and big data. 🌐 Cybersecurity expertise is increasingly crucial due to AI-related safety and security risks. 🌐 AI ethics and prompt engineering are growing fields due to evolving regulations. HUMAN SKILLS IN DEMAND 🌐 Analytical and creative thinking are top skills for 2023 (World Economic Forum report). 🌐 Diverse, compassionate professionals are needed to ensure responsible AI use. 🌐 Compliance, bias mitigation, and legislation navigation are key functions. FUTURE WORKFORCE 🌐 Workforce transformation requires adaptability and continuous learning. 🌐 WEF report predicts that 60% of workers worldwide will need training by 2027. CONCLUSION The rise of AI presents a transformative era in the workforce, highlighting the importance of lifelong learning and adaptability for responsible innovation. For more detailed insights, you can refer to the full article on Forbes. https://lnkd.in/gGFcDafF #airoadmap #responsibleai 🌐

How far away is AGI (Artificial General Intelligence)? 🌐 We are just one year into the post ChatGPT era. What is likely to happy next? A Conceptual Roadmap to AGI: 📍 Enhancing Model Performance The first step is continuing to improve the performance of existing Large Language Models (LLMs) like GPT-4. This includes refining their ability to understand and generate human-like text, improving accuracy, and reducing biases. 📍Scaling Up and Overcoming Practical Challenges Increasing the scale of models, both in terms of data and computational power, is crucial. However, this scaling faces practical challenges like resource limitations, which are currently confined to a few large organizations. 📍Advancing Beyond Memory to Reasoning Current transformer models, which are the backbone of LLMs, excel in memory-related tasks but lack in reasoning and generalization. Developing additional layers or new architectures that facilitate reasoning and decision-making is a critical step towards AGI. 📍Generalization and World Models Addressing the limitations of transformers in generalizing beyond trained data is essential. This could involve integrating 'world models' that provide context and a framework for reasoning, moving beyond mere data recall. 📍Ethical and Responsible Ai Development As models become more advanced, ensuring their ethical and responsible use becomes increasingly important. This includes addressing issues of bias, transparency, and accountability. 📍Collaboration and Open Innovation Progress towards AGI will likely require collaboration across various sectors, including academia, industry, and government. Open innovation and sharing of knowledge can accelerate the development process. 📍Regulatory Frameworks and Public Policy Developing comprehensive regulatory frameworks and public policies to guide the development and deployment of AGI is crucial. This ensures that societal impacts and ethical considerations are at the forefront. 📍Continuous Learning and Adaptation: AGI will require the ability to continuously learn and adapt to new information and environments, much like human intelligence. This means creating models that can evolve and update their knowledge base and capabilities over time. 📍Human-Ai Collaboration Fostering an environment where humans and Ai systems can collaborate effectively will be key. This includes developing interfaces and communication methods that enable seamless interaction. 📍Achieving Cognitive Abilities The ultimate goal of AGI is to achieve a level of cognitive ability comparable to humans. This encompasses not just processing information but also understanding context, emotions, and subtle nuances of human interaction. (Source: Take on Hasan Chowdhury's article, Business Insider from December 20, 2023)

🚀 A Four-Step Responsible Ai Framework for Organizations 1. Define the Problem Start by identifying the specific challenges you want to address with Ai. Generative Ai excels in automating repetitive and time-intensive tasks like summarizing documents and managing knowledge stores. Coinbase's experience with using Ai for subpoena summarization demonstrates the importance of aligning Ai applications with real-world problems. 2. Understand and Plan for Risks Assess the potential risks involved in using generative Ai, particularly concerning data privacy and security. Start with low-risk use cases, ensuring robust security measures and permission controls. 3. Cost-Benefit Analysis of Building vs. Buying Decide whether to develop an in-house generative Ai solution or purchase one. Consider your existing vendor relationships, the scale of deployment, and the total cost of ownership. This step requires balancing transparency and control against development time and internal expertise. 4. Form Your Team Assemble a team comprising a business user, a technical expert, and a prompter/tester. The business user outlines the use case and desired outcomes, the technical expert manages the Ai model, and the prompter/tester ensures effective communication between the business needs and the Ai's capabilities. 👥 Practical Application: These steps move organizations from conceptual to practical applications of generative Ai, adding value while mitigating risks. Unlock the potential of generative Ai responsibly with this expert-backed framework! #GenerativeAi #DataGovernance #BusinessStrategy #Innovation #EDRMWebinar [Source: EDRM Webinar on Generative Ai]