

Data Salon: AI and Labor
An event series for fostering thought leadership across data disciplines and those who work closely with data practitioners. This event will go beyond the hype and inspect the potential impact of AI on labor from well-informed business perspectives both on the ground and systemic.
MC'd by Akpanoluo Etteh, Sr. Director of Data Engineering at Arcspan (fmr: Anthropic, Bandcamp) and founder of The Soundshop music salon series, and co-hosted by Michael Bartoli, Founder of Newtown Analytics (fmr: obé Fitness)
Details on our speakers below:
Emil's Remarks:
The future of AI is not predetermined; systems engineers/ entrepreneurs have choices, eg, about how to design technical systems that put people at the center. I will share my opinions about best practices in human-AI hybrid systems designs, at scale.
About Emil:
Chronologically: quantitative psychology -> computational sociology -> chemicals and grocery supply chain machine learning -> climate finance entrepreneur -> hybrid human-AI knowledge systems engineer. Whoa! I design complex systems that model complex system, with applications in corporate forecasting.
Ben's remarks:
• My role at KUNGFU
• Some speculation about the future of work (i.e., things like Baumol’s cost disease, work becoming more relational, rate of change, etc)
• But specifically, what are common challenges facing organizations today?
• How human-machine teaming is one approach to solving these challenges
• Some of the qualities that matter the most today and going forward (e.g., ethical judgement) effective leadership
• What does it mean to be a good data practitioner today?
About Ben:
Ben Szuhaj is an AI strategist passionate about helping organizations navigate AI transformation. At KUNGFU.AI, Ben works with leaders to develop and implement practical AI strategies that deliver tangible business value. Ben holds a BA in English and human-centered design from Dartmouth College, where he won the Mecklin Prize for creative nonfiction, and is a competitive long-distance runner.