Proposal Description

Generative AI, Statistics and Data Science: Mutual Influences and Future Directions

The disruptive role of statistics in the improvement of artificial intelligence has been recognized. The new challenge is to improve the interpretability of outputs, support the detection of deepfakes, biases and information sources, and promote transparency throughout all the phases of the training process.
The future for traditional stochastic modelling, the role of artificial intelligence and data science for official statistics, survey sampling, education, business and industrial statistics, statistical computing etc. will be addressed. Moreover, the role of ISI associations in the application and development of data science and artificial intelligence will be taken into consideration.
The President-Elect of the ISI and the Presidents of ISI Associations will discuss the impact of the fast evolution and expansion of generative artificial intelligence on statistics, as well as the role of statistics in the development and use of artificial intelligence.
Some questions: Will statistical models become obsolete due to the increasing use of AI? What impact will generative AI have in statistics and data science? Which role can be played by data science and AI in official statistics? Which is the role of probability sample surveys in the use of data science and AI? How can data science and AI contribute to improving estimates based on probability sample surveys? What is the impact of AI on teaching, learning and practicing statistics and on scientific publications? Which will be the role of ISI and its associations?
This invited paper session is proposed by the ISI Special Interest Group on Data Science.

Chair: Elisabetta Carfagna, University of Bologna, Chair of the ISI Special Interest Group on Data Science
Panelists:
ISI - Nalini Ravishanker, University of Connecticut, President – elect of the International Statistical Institute
ISBIS - Matilde Bini, European University in Rome, President of the International Society for Business Statistics
IASC - Paulo Canas Rodrigues Federal University of Bahia and Director of the Statistical Learning Laboratory, President of the International Association for Statistical Computing
IASS - Ralf Münnich, University of Trier, President-Elect of International Association Survey Statisticians
IAOS - Gary Dunnet, Statistics New Zealand, President of the International Association for Official Statistics
IASE - Bruno de Sousa, University of Coimbra, President International Association for Statistical Education
TIES - Nathaniel Newlands, Agriculture and Agri-Food Canada and Statistics Canada, President of the International Environmetrics Society
BS - Nancy Reid, University of Toronto, President of Bernoulli Society