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AI, Jobs, and the Future of Work: 8 Sessions

  • Writer: Mark Miller
    Mark Miller
  • Jun 24
  • 3 min read


The Artificial (Un)Intelligence Conference.
AI, Jobs, and the Future of Work

AI is fundamentally transforming the nature of work, altering roles, workflows, and tools. It offers opportunities for accelerated decision-making, enhanced customer engagement, and scalable efficiency. However, it also prompts concerns regarding job displacement and algorithmic bias.


That's why we have multiple sessions at The Artificial UnIntelligence Conference from practitioners who talk about solutions that positively affect their work environment and the future of work.


These experts emphasize that AI is poised to partner with humans, rather than replacing their capabilities. A critical challenge involves closing the "alignment gap," ensuring human teams are prepared to trust and effectively act upon AI-generated insights.



8 Sessions on AI, Jobs, and the Future of Work


The Artificial UnIntelligence Conference
Joan Bajorek

Future-Proof Your Career: Resilience and Opportunity in the Age of AI by Joan Bajorek

This session directly addresses the "layoff anxiety" prevalent among professionals in the age of AI, drawing on the speaker's personal experiences with large-scale AI layoffs. It provides practical, data-driven, and clinically-validated frameworks for building career resilience, expanding income streams, and achieving financial freedom through personal branding and networking



The Artificial UnIntelligence Conference
Ahmed Fessi

Case Study: AI eliminated 5000 man-hours monthly without displacing a single person by Ahmed Fessi

This session presents a real-world case study of an 800-person company that used AI to eliminate 5000 manual hours per month, showcasing how AI can boost productivity and efficiency at scale without displacing any employees. The session details how to identify, design, and execute AI-driven solutions tailored to organizational challenges, emphasizing experimentation, validation, and iteration to achieve measurable results



The Artificial UnIntelligence Conference
Dr. Serena Huang

Responsible AI in Healthcare by Dr. Serena Huang

This presentation explores the integration of AI into healthcare, highlighting both its benefits, such as improved efficiency and personalized medicine, and critical concerns like bias and data privacy. It emphasizes the importance of building responsible AI systems and strengthening human-AI collaboration to ensure that AI enhances, rather than replaces, the human touch in healthcare.



The Artificial UnIntelligence Conference
Chris Tabb

Job Stability through Problem Solving with AI by Christian Tabb

This session addresses the anxiety among software and data engineers about AI potentially taking over their coding jobs. It argues that problem-solving skills, built on logic, creativity, and strategic thinking, are more valuable than coding languages alone. The talk positions AI not as a replacement, but as a strategic partner that can significantly reduce project failures and enhance returns by speeding up problem-solving, thereby contributing to long-term career stability



The Artificial UnIntelligence Conference
Noelle Russell

Scaling Responsible AI: From Enthusiasm to Execution by Noelle Russell

This session examines how various industries are evolving with the implementation of generative and applied AI technologies. It specifically focuses on how AI can be deployed to support and enhance human ingenuity, rather than replacing it. The discussion also covers the opportunities, risks, challenges, and ethical considerations involved in AI implementation within organizations



The Artificial UnIntelligence Conference
Dan Lundin

Case Study: Don't Replace Humans. Amplify their Capabilities. by Daniel Lundin

This session shares a case study focusing on using AI to enhance human capabilities rather than replacing them. It describes how human knowledge was modeled into taxonomies and ontologies and then combined with unstructured data to create a Large Language Model designed to amplify the abilities of service technicians, rather than displacing them, fostering human-machine collaboration



The Artificial UnIntelligence Conference
Esther Fee Reinhardt

Creativity and AI: Minimal Emotions Needed by Esther Fee Reinhardt

This session explores the impact of generative AI on creativity and introduces the "Minimal Emotion Needed (MEN-) Value" framework. This framework helps assess which tasks are suitable for AI replacement and which fundamentally require human involvement due to the intrinsic need for devotion and emotion that AI cannot replicate.



The Artificial UnIntelligence Conference
Ilker Erkut

AI: The Great Equalizer in the Workforce by

Ilker Erkut

This session confronts common fears about AI's impact on employment, reframing AI as a tool for empowerment rather than a threat. It discusses how embracing AI can enhance productivity, restore autonomy, and even serve as a form of self-care by freeing professionals from burnout and outdated work models. The session highlights a workforce shift towards increased autonomy and adaptability, making these traits the new competitive edge





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