Dr. Diening and Jie Li Advocate for Human-AI Symbiosis at ADRF24: Exploring How Humans and AI Can Thrive Together

Dr. Alexandra Diening and Jie Li recently shared insights at the ADRA annual event, discussing the impact of AI and the need for societal awareness around it. Their presentation at the Humane AI Net workshop inspired Dr. Diening to launch the Human-AI Symbiosis Alliance®, focusing on mutual benefits between humans and AI—whether in mutualism, commensalism, or even competitive dynamics. They highlighted the power of synthetic users in participatory design and urged the audience to explore AI capabilities firsthand before forming judgments.

What’s your take? Are we headed for mutualism or competition with AI? Let us know!

 

Dr. Diening and Jie Li Advocate for Human-AI Symbiosis at ADRF24: Exploring How Humans and AI Can Thrive Together
Dr. Diening and Jie Li Advocate for Human-AI Symbiosis at ADRF24: Exploring How Humans and AI Can Thrive Together

Humane AI Meeting Kicks Off at Umeå University with Focus on Advancing Major Projects in Human-AI Collaboration

The first day of the Humane AI meeting at Umeå University’s Universum Building marked a deep dive into four key macroprojects aimed at advancing human-AI collaboration and understanding the broader societal impact of generative AI (GenAI). Researchers and experts gathered to push forward these ambitious projects, each targeting critical aspects of AI’s integration with human activity and its ethical considerations.

The four macroprojects under discussion included:

  1. Benchmarking for Human-AI Collaboration with GenAI Models: This project seeks to establish standardized benchmarks for evaluating how effectively generative AI can collaborate with humans, addressing real-world applications and challenges.
  2. Ethical Metrics for Humane AI: Focusing on AI ethics, this initiative aims to develop concrete metrics to ensure that AI technologies align with human-centered values and principles, promoting responsible and humane AI applications.
  3. Learning Using GenAI: Researchers are exploring the potential of GenAI in enhancing learning experiences, examining how AI models can support and improve educational processes.
  4. Impact of GenAI on Society: This project investigates the social implications of GenAI, analyzing how its integration may influence social structures, cultural dynamics, and overall public perception.

The Humane AI meeting sets the stage for a collaborative and forward-thinking approach to these projects, each essential for building a future where AI enhances, rather than detracts from, human experiences.

Workshop Explores the Power of Generative AI in Social Science Research with SCOPE, #AIonDemand, and #NestBW Projects

On June 6-7, a collaborative workshop led by the Societal COmmunication in times of PErmacrisis (SCOPE) project, along with #AIonDemand and #NestBW, showcased the transformative potential of generative AI (GenAI) in social science research. The event aimed to introduce social scientists to AI tools that can reimagine research processes, drawing in over 40 interdisciplinary attendees, including sociologists, political scientists, media scientists, journalists, physicists, AI researchers, and computational social scientists.

The workshop featured five international speakers who provided hands-on insights and demonstrations:

  • Talk 1: Prof. Dr. Paul Lukowicz, Humane AI Net Coordinator and DFKI director, covered the fundamentals of large language models, highlighting their capabilities and limitations.
  • Talk 2: Fiona Draxler, a postdoc at the University of Mannheim, shared her experiences using GenAI for qualitative analysis.
  • Talk 3: Razia Aliani, a Canadian consultant and top LinkedIn research voice, offered a hands-on tutorial on conducting literature reviews and efficiently analyzing data with AI, showing researchers how to streamline paper writing using generative AI tools.
  • Talk 4: Hugo Alves, co-founder of Synthetic Users, demonstrated the generation of interview data based on predefined demographics and led discussions on the pros and cons of synthetic data in research.
  • Talk 5: Passant Elagroudy, DFKI postdoc and Humane AI Net project manager, presented existing GenAI resources for conducting research, including the GenAI research resources website here.

Organized by Passant Elagroudy, Talisa Schwall, Olga Zagovora, Simone Mitzner, and Michaela Maier, the event concluded with hands-on group activities, where participants reimagined their research projects in the light of GenAI.

Stay tuned for the talk recordings and materials, soon to be available on #AIonDemand.

Event details: https://lnkd.in/dt57j96p