In Episode 23, we explore AI and how digital transformation is a driving force in business today. But do we understand AI, and how can we shift the paradigm of black box to glass box? Recent research shows that even the most well-designed AI systems can still end up with bias, per McKinsey. This is important as we think about the future of work and autonomous everything because AI can exhibit “unfairness” by accident, ultimately embedding bias like sexism, racism, ageism and other discriminatory behaviors that WE rely on for decision making to become automated at scale.
According to Genpact's study, AI 360: Hold, fold, or double down?, mitigating AI bias can increase opportunities to build customer relationships. Most consumers (58%) are more likely to recommend a company that can demonstrate its AI algorithms are bias-free, and more likely to purchase products or services from such businesses (56%). Gen Z (69%) and millennial (70%) respondents champion unbiased brands even. How do you build trust in the digital age?
This is Part 1 of a 2-part series featuring Celia Fleischaker, Chief Marketing Officer at PROS, an AI-based platform that helps people and companies outperform by enabling smarter personalization in the digital economy. In this episode, we describe the AI revolution and how to prevent unethical AI, how to build trust in algorithms, and impacts in the future of work and autonomous supply chains. Part 2 of this discussion (Episode 24), will explore diversity & inclusion and dive deep into the building blocks for digital trust.
To learn more about PROS, visit https://pros.com/
To learn more about Celia, visit https://www.linkedin.com/in/celiafleischaker/
Find us, connect, and explore at https://www.supplychainrevolution.com/
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By Sheri Hinish, SupplyChainQueen
4.9
5757 ratings
In Episode 23, we explore AI and how digital transformation is a driving force in business today. But do we understand AI, and how can we shift the paradigm of black box to glass box? Recent research shows that even the most well-designed AI systems can still end up with bias, per McKinsey. This is important as we think about the future of work and autonomous everything because AI can exhibit “unfairness” by accident, ultimately embedding bias like sexism, racism, ageism and other discriminatory behaviors that WE rely on for decision making to become automated at scale.
According to Genpact's study, AI 360: Hold, fold, or double down?, mitigating AI bias can increase opportunities to build customer relationships. Most consumers (58%) are more likely to recommend a company that can demonstrate its AI algorithms are bias-free, and more likely to purchase products or services from such businesses (56%). Gen Z (69%) and millennial (70%) respondents champion unbiased brands even. How do you build trust in the digital age?
This is Part 1 of a 2-part series featuring Celia Fleischaker, Chief Marketing Officer at PROS, an AI-based platform that helps people and companies outperform by enabling smarter personalization in the digital economy. In this episode, we describe the AI revolution and how to prevent unethical AI, how to build trust in algorithms, and impacts in the future of work and autonomous supply chains. Part 2 of this discussion (Episode 24), will explore diversity & inclusion and dive deep into the building blocks for digital trust.
To learn more about PROS, visit https://pros.com/
To learn more about Celia, visit https://www.linkedin.com/in/celiafleischaker/
Find us, connect, and explore at https://www.supplychainrevolution.com/
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