When automation isn’t enough

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Humanity’s Imperative: Ethical AI, Oversight, and the Future of Work

(This article was generated with AI and it’s based on a AI-generated transcription of a real talk on stage. While we strive for accuracy, we encourage readers to verify important information.)

Myriam François, Justina Nixon-Saintil, Angeli Patel

The Web Summit Lisbon 2025 panel explored automation’s true purpose. Ms. Angeli Patel, Executive Director for the Berkeley Center for Law and Business, noted that while corporate goals include efficiency, the ideal vision aims to create jobs, foster innovation, and improve global quality of life. Ms. Justina Nixon-Saintil, VP and Chief Impact Officer at IBM, added that AI drives workforce transformation, productivity, and enhanced customer service, representing an evolution requiring positive community engagement.

Addressing job displacement fears, Ms. Nixon-Saintil challenged high unemployment statistics. She explained that jobs will shift and evolve, with rote tasks becoming obsolete but new roles emerging. Companies, she stressed, must upskill workforces and communities, promoting AI fluency and ethical understanding. This transition, she noted, will elevate human skills like judgment and problem-solving, crucial for navigating the new automated landscape.

Dr. Myriam François, Director at MPWR Productions Ltd, questioned Universal Basic Income (UBI) as a solution. Ms. Patel viewed UBI as a potential tool for survival, but emphasized education as the primary government investment for active participation. Dr. François then raised concerns about human oversight given AI’s rapidly increasing intelligence, prompting a discussion on human control.

Ms. Nixon-Saintil affirmed the indispensable role of humans in high-stakes decisions, stressing their ownership of outcomes. Human judgment, context, and the ability to challenge AI are crucial. Ms. Patel added that unique “edge cases” requiring novel judgment remain human domain, contrasting with automated routine tasks. Dr. François highlighted ethical failures, citing AI use in military targeting and police profiling, which led to severe consequences.

Ms. Nixon-Saintil responded by advocating for universal AI fluency and responsible tech boards within companies. These boards, like IBM’s, rigorously review solutions to prevent harm, integrating ethical guardrails from the outset, even if it impacts revenue. Ms. Patel noted defense spending as a historical driver of innovation, including the “AI arms race,” and called for greater transparency in funding and purpose. She also emphasized a growing societal premium on authentic human connection, suggesting AI products must value this human element.

Ms. Patel stressed that AI solutions must be tailored to local contexts. She advocated for self-regulation, board-level responsibility, and diverse leadership as indicators of genuine ethical commitment. Ms. Nixon-Saintil added that robust data governance, prioritizing privacy, is vital. Regarding agentic AIs, Ms. Nixon-Saintil maintained the “opportunity to pull the plug” still exists. Ms. Patel concluded by emphasizing the critical role of government regulation, urging leaders to establish global cooperation and standards for this transformative technology.

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