AI and the Future of Work: Artificial Intelligence in the Workplace, Business, Ethics, HR, and IT for AI Enthusiasts, Leaders and Academics - Meredith Broussard, NYU professor, AI ethics authority, and featured expert in Coded Bias, discusses the social implications of AI

Meredith Broussard, NYU professor, AI ethics authority, and featured expert in Coded Bias, discusses the social implications of AI

02/27/23 • 38 min

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AI and the Future of Work: Artificial Intelligence in the Workplace, Business, Ethics, HR, and IT for AI Enthusiasts, Leaders and Academics

Meredith Broussard is one of the most visible, vocal leaders in the emerging field of algorithmic accountability. Professor Broussard is a data scientist and Associate Professor at NYU whose research focuses on AI in investigative reporting and using data analysis for social good. Meredith is the author of Artificial Unintelligence: How Computers Misunderstand the World and the forthcoming More Than a Glitch: Confronting Race, Gender, and Ability Bias in Tech.

Among other things, Professor Broussard was featured in the seminal documentary Coded Bias. Today's discussion is about one of the most important topics in our field and in this episode we explore it with someone whose name is on a shortlist of AI ethics pioneers. You’ve heard me say repeatedly coursework in AI ethics should be required for every student graduating with a technical degree. Here's why!
Listen and learn...

How AI reveals bias encoded in society
Why it's important to always ask "what could go wrong"
What is the new field of "algorithmic accountability reporting"
What the Blueprint for an AI Bill of Rights may mean for bad acting companies
What's the right role for the federal government in AI regulation
How to assign an "accountability score" to algorithms
The ethical issues related to AI we'll be discussing in a decade

References in this episode...

More Than a Glitch, Professor Broussard's new book... and her "love letter" to an amazing group of women who are pioneers in the emerging field of algorithmic accountability
Professor Broussard's personal website
The racist soap dispenser
Joy Buolamwini's Algorithmic Justice League
Rumman Choudary, formerly head of the META team at Twitter
Cathy O'Neil's ORCAA
The ethical judgments built into generative AI models
Google's "stochastic parrots" debacle
The Agnes Irwin School outside Philadelphia

How AI reveals bias encoded in society
Why it's important to always ask "what could go wrong"
What is the new field of "algorithmic accountability reporting"
What the Blueprint for an AI Bill of Rights may mean for bad acting companies
What's the right role for the federal government in AI regulation
How to assign an "accountability score" to algorithms
The ethical issues related to AI we'll be discussing in a decade

References in this episode...

More Than a Glitch, Professor Broussard's new book... and her "love letter" to an amazing group of women who are pioneers in the emerging field of algorithmic accountability
Professor Broussard's personal website
The racist soap dispenser
Joy Buolamwini's Algorithmic Justice League
Rumman Choudary, formerly head of the META team at Twitter
Cathy O'Neil's ORCAA
The ethical judgments built into generative AI models
Google's "stochastic parrots" debacle
The Agnes Irwin School outside Philadelphia

Previous Episode

Arvind Jain, CEO of Glean, Rubrik co-founder, and Google Distinguished Engineer, discusses the future of enterprise search

Arvind Jain, Glean CEO and Rubrik co-founder, started Glean in March 2019 to make it easier to find answers strewn across myriad SaaS apps. Prior to Glean, Arvind had an incredible run at data security company Rubrik which he co-founded in 2014. Prior to Rubrik Arvind was a distinguished engineer at Google. Glean became a unicorn last year having raised $100M in May from a list of iconic investors including Lightspeed, General Catalyst, Kleiner Perkins, and Sequoia.

Enterprise search is one of the best examples of a field that was in desperate need of disruption. In this episode, we meet one of the disruptors.
Listen and learn...

Where there's a gap in traditional search technology including Google
How to retrieve the best answers across hundreds of SaaS apps
How to understand what users need even when they don't know the right way to ask for it
How to use LLMs like ChatGPT to improve search accuracy
How products like Alexa and Siri are teaching us to ask questions using natural language rather than searching with keywords
How to personalize enterprise search without improperly using user data
What is the future of knowledge management

References in this episode...

Next Episode

Andi Mann, Sageable CEO and AIOps pioneer, discusses enterprise AI wins and the impact of automation on jobs

We often discuss the future of work for enterprise employees. What technology will they use, how will people and machines interact, and how teams will be organized when geography and language are no longer barriers. Few have spent more time in and around enterprise service management than today’s guest and few are better qualified to share insights about what’s ahead.

Andi Mann has been a technology leader in technology companies around the world since the 90s. He founded Sageable, the digital transformation advisory services practice, in 2015 and has also recently served in roles that include CTO for DevOps at Splunk and VP Products and Strategy at CA which is now part of Broadcom. Andi and I both did time at BMC Software in the early 2000s. Andi is the author of multiple books including The Innovative CIO, he’s a sought after speaker, and tech provocateur who is never shy about what’s wrong with IT and where the world of digital is headed.

Thanks to friend of the podcast Steve Kaplan for the intro to Andi.

Listen and learn...

Why Andi summarizes his career this way: "I make computers do more work to allow people to do more creative things"
The best use of enterprise AI Andi has seen
How Andi helped an industrial transportation company save a billion dollars
Why “less complex systems can’t understand more complex systems”
Why the best use of AI is targeting “known knowns” by augmenting vs. replacing human intelligence
How to overcome the lack of trust in AI
Why AI won’t eliminate any jobs... and why it will create many new ones
Skills to invest in today that will never be replaced by automation

References in this episode...