23

May

Teaser image to Innovating AI Products for Social Good 
in the Age of Foundational Models

Innovating AI Products for Social Good in the Age of Foundational Models

Qian Yang, Cornell University Department of Information Science

   23.05.2024

   5:00 pm - 6:30 pm

   Online via Zoom

Accounting for AI's unintended consequences—whether misinformation on social media or issues of fairness and social justice—increasingly requires AI systems designers to go beyond immediate user experiences of the system and consider human-AI interactions at a societal scale. The increasing ubiquity of large pre-trained language models (LLMs) further exacerbates this trend. So, how does LLM change the way we, AI product designers and human-AI interaction researchers, work? How might we work to innovate LLM applications for social good? In this talk, Professor Qian Yang draws upon her lab's research on LLMs for education and for mental healthcare and explores these questions.

Organized by:

LMU Munich, Institute of AI in Management


Related

Link to tba

AI Keynote Series  •  08.08.2024  •  Online via Zoom

tba

tba


Link to tba

AI Keynote Series  •  18.07.2024  •  Online via Zoom

tba

tba


Link to Interpretable prediction with missing values

AI Keynote Series  •  06.06.2024  •  Online via Zoom

Interpretable prediction with missing values

Missing values in healthcare data hinder interpretability and predictions. Fredrik Johansson's talk presents two solutions and suggests future research directions.


Link to Causal Scoring: A Framework for Effect Estimation, Effect Ordering, and Effect Classification

AI Keynote Series  •  08.02.2024  •  LMU Institute of AI in Management via zoom

Causal Scoring: A Framework for Effect Estimation, Effect Ordering, and Effect Classification

The presentation introduces causal scoring for decision-making, with interpretations.


Link to Machine Learning Who to Nudge: Causal vs Predictive Targeting in a Field Experiment on Student Financial Aid Renewal

AI Keynote Series  •  18.01.2024  •  LMU Institute of AI in Management via zoom

Machine Learning Who to Nudge: Causal vs Predictive Targeting in a Field Experiment on Student Financial Aid Renewal

Join the presentation of Jann Spiess, Stanford Graduate School of Business, on the nuances of intervention effectiveness on targeting strategies.