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Leveraging AI for Inclusive Practices. Join Beth Ruffin from The Everyday Inclustionist at the SC Nonprofit Summit in Columbia Feb 25-27. summit.togethersc.org Explore how artificial intelligence can be a powerful ally in fostering inclusivity in your org. This session delves into practical applications of AI technologies to promote diversity and reduce bias. Learn how AI can enhance hiring processes, personalize user experiences, improve accessibility, and uncover patterns of exclusion in data. We'll discuss real-world examples and best practices for implementing AI-driven inclusivity initiatives, while also addressing potential pitfalls and the importance of ethical AI development. Gain insights on combining AI tools with human oversight to create more inclusive environments in workplaces, products, and services. #NPSummit25 Beth Ruffin, MBA (she/her/hers)

📣 Passionate about using AI to address society's most pressing challenges? Join us at Idiap Research Institute and be part of our mission to make a positive impact through cutting-edge AI research! Our research programs are tackling critical issues such as: ▪️ Human-AI Teaming: Empowering people to work effectively with AI systems, fostering collaboration and innovation. ▪️  Sustainable and Resilient Societies: Anticipating and mitigating future disruptions, fostering sustainability, and combating disinformation. ▪️  AI for Life: Advancing biological understanding, developing personalized medicine, and improving health outcomes. ▪️  AI for Everyone: Fostering inclusive AI development and empowering people from all backgrounds to contribute to and benefit from AI solutions. ➡️ If you're ready to contribute to these important initiatives and join our young AI research community, apply now to become part of our team! https://lnkd.in/eRST-wtw #AIforGood #ResearchImpact #Innovation #SocialImpact #AIResearch #Sustainability #HealthTech #DiversityInTech #InclusiveAI

Using AI for Good: Empowering Communities Through ALX AICE Cohort 7 Artificial Intelligence (AI) is transforming industries, making life easier and more efficient. However, beyond technological advancement, AI offers immense potential for social good. One initiative leading this charge is the ALX AICE (Artificial Intelligence for Civic Engagement) Cohort 7, which trains individuals to use AI to tackle real-world problems. Enrolling in ALX AICE Cohort 7 provides participants with cutting-edge AI skills to create solutions that positively impact communities. From addressing healthcare challenges to improving education and supporting sustainable development, AI can be used to solve pressing social issues. By leveraging AI’s potential, this program empowers learners to drive change, support humanitarian efforts, and contribute to equitable technological growth. By joining the ALX AICE Cohort 7, individuals not only invest in personal growth but also gain tools to actively participate in AI-driven civic innovation, making AI a force for good.

The Senate’s AI Roadmap will strengthen America’s global competitiveness in artificial intelligence and ensure the U.S. remains the world’s leader in safe and responsible AI innovation. Read our statement: https://bit.ly/3QHro6g The Senate AI Roadmap will: ✅ Provide robust funding for USAISI, NAIRR, Tech Hubs, and the National Institute of Standards and Technology (NIST) ✅ Expand innovation ✅ Empower a new generation of AI leaders ✅ Bolster our workforce ✅ Lower barriers to entry for AI research ✅ Set guardrails to protect U.S. institutions AI has the potential to help us solve the greatest challenges of our time, from health care, agriculture, and education to transportation, energy, and national security. Learn more by following AI4America and visiting ai4america.com. We applaud Leader Schumer and Senators Rounds, Heinrich, and Young for their continued leadership. We look forward to working with Congress to ensure America remains the world’s leader in AI and wins the next era of innovation.

Navigating the Era of AI: Reflections from the Hauser Policy Impact Fund Webinar Series 🌐🤖 Today, I attended "The Hauser Policy Impact Fund Webinar Series: Navigating the Era of Artificial Intelligence Part 2: The Role of Social Sciences." Here are key takeaways and reflections on how these ideas resonate with my work in interdisciplinary research teams. Equity in Algorithmic Decision-Making The discussion highlighted the potential of algorithmic decision-making for equitable outcomes. H.V. Jagadish clarified that equity isn't fairness but creating comparable conditions, emphasizing the need to design AI systems that address systemic inequities. Ensuring Desired Outcomes through Testing Alex Choholas-Wood discussed AI systems that remove race-related information from prosecutor reports, stressing the importance of testing in low-stake applications first to ensure AI tools perform as intended before critical use. Human-AI Interaction and Behavioral Design Nicholas Christakis' research on human interactions in the presence of AI aligns closely with my interest in integrating AI tools in research teams' workflow. His findings on AI influencing human behavior to ensure courteous and collaborative interactions are particularly relevant. This approach does not prioritize AI efficiency but how AI influences positive human behaviors, which could revolutionize team dynamics in interdisciplinary research. Collaborative Learning with AI Shuchi Grover's insights into collaborative learning with AI, mainly in K-12 education, sparked ideas on its broader applications. Collaborative learning is vital for the convergence of methodologies in interdisciplinary research. Designing Inclusive Technology Michael Muller emphasized designing technology that represents all groups, including minorities. His example of policing agencies neglecting to collect data on missing Indigenous women shows how biased data collection can silence marginalized voices. Muller advises designing inclusive training data to mitigate biases. Diversity in Bias and Building Trust in AI Jagadish noted that while everyone is biased, diverse biases can help correct systemic issues. Ensuring adequate representation in AI design can address unwanted biases. All speakers agreed that AI should be treated like a junior associate, with its responses scrutinized and trust built over time. Conclusion This webinar reinforced my belief in the careful integration of AI in societal applications, requiring an understanding of human behavior, rigorous pre-testing, and a commitment to inclusivity. If you're interested in discussing how AI can be ethically and effectively integrated into your projects, let's connect! 🌟 #AI #InterdisciplinaryResearch #EquityInTech #CollaborativeLearning #InclusiveAI #HauserPolicyImpactFund #SocialSciences

Governor Kathy Hochul's Empire AI initiative is a game-changer for New York's innovation landscape. Launched with an impressive $400 million funding, this public-private consortium is pioneering AI research to address global challenges, such as climate resilience, health disparities, and food security. Housed at the University at Buffalo, this initiative promises to elevate New York as a leader in responsible AI development. With the support of major institutions like Columbia, Cornell, and NYU, the initiative offers cutting-edge computing power, thanks to the Simons Foundation's contributions. This positions New York to make breakthrough advancements in AI, creating opportunities for startups and contributing to economic growth. This initiative aligns with broader efforts to invest in high-tech industries, including next-gen chip research and green technology, reinforcing the state's commitment to ethical AI development. The Empire AI Consortium not only aims to drive scientific discoveries but also emphasizes ethical considerations, ensuring AI benefits the public. As New York cements its role as a hub for AI innovation, how do you see such initiatives shaping the future of technology in your area? Let's exchange ideas and insights! [Original Article: Fingerlakes1.com](https://lnkd.in/d3d_UgNA

Donnacha O'Driscoll, General Manager of Insight UCD, tells #AIForumIRL delegates about building successful AI ecosystems and nurturing growth and innovation. He says that while the Government has provided good levels of funding for research that this needs to be accelrated. He adds that better incentive mechanisms for researchers are needed to produce low-mid TRLs with better reward mechanisms to promote entrepreneurial activities while protecting school activity, and that there is a need for more diversity in the AI community. He also outlines five areas of potential based on current industry interactivity: 1) AI Agents 2) Sustainable AI 3) Edge AI 4) In orbit technology and derived data 5) Health

The future of AI: Harnessing the power of AI to improve children's lives When applied responsibly, AI has the potential to transform the lives of children globally, particularly in education and healthcare. An example is the OTTAA device from Chilean startup Comunicacion Aumentativa, which helps children like Antonella, who has Spinal Muscular Atrophy, communicate using their eyes. However, biased AI systems can perpetuate inequalities. To harness AI's full potential, it must be developed with diverse data and transparency. UNICEF's Venture Fund exemplifies ethical AI investment, supporting projects that use AI for public health, climate monitoring, and education in underserved regions. By focusing on responsible AI, we can ensure technological progress benefits all children, creating a more inclusive and equitable future. Read more here (Fast Company): https://lnkd.in/g6qvsPhK #AI #ChildrensHealth #EducationInnovation #ResponsibleAI #EthicalTech #Inclusion #UNICEF #TechForGood #ArtificialIntelligence #OTTAA

Hi all, I have invite only access to an event through a company I advise, (Pienso) at Massachusetts Institute of Technology,being held at the MIT Media Lab, focusing on GenAI In the Enterprise. Speakers will include Henry Lieberman and others from MIT Computer Science and Artificial Intelligence Laboratory (CSAIL) and the college of computing. The event is scheduled for September 10, 2024, in Cambridge, MA. Topics will cover much, including: - Agents vs. Direct Manipulation: Exploring the future of generative AI workhorses in the enterprise, discussing the use of chatbots (agents) versus other approaches. MIT thought leaders will delve into the debate on auto-regressive, generative LLMs, seeking a balanced approach between agentic AI and model manipulation. - Tales of Generative AI Trauma: Unpacking generative AI challenges in enterprises and insights from enterprises on navigating past failures in implementing RAG, copilots, and other auto-regressive models. The summit will feature two keynote speeches, three panels, and a fireside-style event under Chatham House rules to encourage open dialogue. For invites, please DM me. Limited space available; no recruiters, or anyone trying to sell anything please.. #AI #GenAI James McKee Ethel Formichelli Sean DuGuay Paul J. Noble Sahil Agarwal Amanda Ducach Yashar Behzadi Katie Trauth Taylor, PhD Kubera Venture Capital Birago Jones Karthik Dinakar

HOW CAN WE USE AI TO CHANGE WORLD AND ADDRESS GLOBAL CHALLENGES 1. Identify global challenges: Begin by researching and understanding the world's most pressing issues, such as climate change, poverty, healthcare, education, and social inequality. Focus on areas where AI can make a significant positive impact. 2. Develop innovative solutions: Utilize your expertise in AI to develop creative solutions to these challenges. This may involve designing new algorithms, creating intelligent systems or improving existing technologies to address specific problems. 3. Collaborate with others: Engage with experts from various fields such as science, engineering, social sciences, and humanities to ensure that your AI solutions are comprehensive and effective. 4. Promote awareness and adoption: Share your ideas and solutions with the public, policymakers, and businesses to raise awareness about the potential of AI in addressing global challenges. Advocate for the adoption of AI technologies in relevant sectors. 5. Invest in education and research: Support initiatives that promote education and research in AI and related fields. This will help create a skilled workforce capable of developing innovative solutions to global issues. 6. Ethical considerations: Ensure that your use of AI is ethical by considering privacy concerns, bias prevention, transparency, accountability, and fairness in decision-making processes. 7. Engage in policy discussions: Participate in policy discussions at local, national, and international levels to influence decision-making regarding the responsible development and deployment of AI technologies for positive societal change. 8. Create social impact organizations: Establish or support organizations dedicated to using AI for social good initiatives such as healthcare improvement projects or environmental conservation efforts. 9. Measure progress: Continuously monitor the effectiveness of your efforts by evaluating the impact of your solutions on the targeted problems. Use data-driven insights to refine your strategies over time. 10. Inspire others: Share your experiences and lessons learned with others in the field to inspire them to use their skills for positive change as well. By following these steps, you can effectively leverage the power of AI to address global challenges and create a better world for future generations. I hope this little piece helps us all. Robert Bempah Anokye #aice #aiced2024 #alx_ai