Achievement & Assessment Institute at KU’s Post

Stanford University's 2024 AI Index Report, here are a few key points. Well worth a read, but being 500 pages long it may take a few sittings. 1. AI now matches or exceeds human capabilities in tasks like image classification and language understanding, yet struggles with complex areas such as advanced math and planning. 2. The private sector leads AI innovation, producing 51 machine learning models in 2023, with industry-academia partnerships also peaking at 21 models. 3. Training costs for cutting-edge AI models are climbing, exemplified by OpenAI's GPT-4 at $78 million and Google's Gemini Ultra at $191 million. 4. The U.S. maintains its lead in AI development and investment, with 61 significant AI models developed in 2023, ahead of the EU and China. 5. There's a notable lack of uniform standards in reporting the risks of AI models among leading developers, complicating risk assessments. 6. Despite a dip in overall AI investment, funding for generative AI technologies has seen a dramatic increase, reaching $25.2 billion. 7. AI is credited with boosting productivity and bridging skill gaps in the workforce, though there are concerns about potential drops in performance without proper oversight. 8. AI is pushing forward scientific discovery, notably in algorithmic sorting and new materials development. 9. AI-related regulations in the U.S. grew by 56% over the past year, reflecting heightened legislative attention. 10. Public awareness and concern about AI’s societal impacts are rising, with a significant increase in Americans feeling more concerned than excited about AI technologies.

From envisioning the first algorithm to shaping the future of AI, Ada Lovelace's impact is undeniable. 📜💡 Learn how NIST's AI history connects to her groundbreaking work. #STEM #WomenInTech #AI #History https://ow.ly/yzks50SlFQI

Beyond the hype, AI is a sophisticated, probabilistic tool with profound opportunities and limitations. At Cypher 2024, Prof. Jim Samuel, AI scientist and Public Informatics at Rutgers University professor, delivered a thought-provoking talk debunking misconceptions about AI and advocating for its ethical, human-centric development. Read the full article or watch the video to explore his key insights: https://lnkd.in/eanSMitd

Navigate the landscape of ethical considerations in Generative AI with us. Check out Cognixia's Responsible AI course here - https://lnkd.in/gUE8-g2r #ResponsibleAI #Cognixia

Jim Samuel AI scientist and professor at Rutgers University, explored why individuals, institutions, and businesses struggle with AI at Cypher 2024. His session dissected misconceptions about AI, highlighting its capabilities and limitations while emphasizing the importance of ethical development. By addressing these critical challenges, Jim provided a balanced and insightful perspective to help organizations navigate the complexities of integrating AI into real-world applications. Visit here to explore session highlights and recordings: https://lnkd.in/gMHaa8zb #artificialintelligence #generativeai

Join Futurum's David Nicholson, John Roese of Dell Technologies, and Dr. Dava Newman for a fascinating discussion on the future of AI. Discover: The latest advancements in AI technology The potential of AI to solve global challenges The importance of ethical AI development Watch the full conversation here and gain valuable insights into the world of AI. https://lnkd.in/ecnVGw5z #AI #technology #innovation #futureoftech

Want to learn about how personality relates to how people think and feel about AI? Here is what my collaborator Jiyoung Park and I are thinking.. https://lnkd.in/ggaMmJjy Questions and follow-up research ideas are welcome! #futureofwork #ai #workingwithrobots #technology

The mountain is calling.. Will AI diminish what work means to us.....or enhance it? I’m looking forward to moderating this important discussion at #WEF25 #Davos with Dr. Athina Kanioura, Francine Katsoudas, and Becky Frankiewicz as we explore how to ensure work remains meaningful, purposeful, and human in the age of AI.

"The human-centered framework is anchored in a shared commitment that AI should improve the human condition—and it consists of concentric rings of #responsibility and impact, from individuals to community to society as a whole." #Trustworthiness is an empirical phenomenon. The shared commitment should be in learning about uses of AI by oneself, by others, and with others. Attention to context of use will be as important as attention to outputs in this empirical learning. Different perspectives will be important in this collaborative learning.   "The difference between those who understand how to use AI and those who do not is going to have extremely profound downstream effects... the public sector is what the public should be able to trust when there is a need to assess, evaluate, or explain something." #Transparency of AI anaytics will be required if our collective resources are to serve this role. Trustworthiness of this empirical process obviates the need for blind trust. Fiduciary duty, discretion, trust, and loyalty of civil servants and their agencies in this role would be fostered by being a clearinghouse for citizen science on the uses (and misuses) of AI. Again, it will be important for transparency in methods of selection, evaluation, and promulgation of lessons learned.   "Computers embody our values. But humans have the ability to #love and feel #compassion. Right now, it’s not clear there is a mathematical path toward that." Observations of love and compassion, and representations about it, can benefit from #expertise just as in any other field of human endeavor. This expertise is not going to come from the physical or computational sciences, nor is it limited to the social and behavioral sciences. Again, utilization of expertise as such requires empirical evidence of its trustworthiness rather than blind trust.

Don’t miss the next presentation in the Ethical Uses of AI Seminar Series! Dr. Salena Anderson leads the next discussion: How Generative AI Works & Why it Matters for Society. This is open to the public, held on Sept. 30th at 5:30 p.m. in IAB Room 1012. #GenerativeAI #AI #GeorgiaSouthern #CAHatGSU