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Artificial intelligence (AI) and robotic systems are increasingly prevalent in business today, and their influence on how we work will only grow from here. Whatโs going to happen to the workplace? How will jobs change and what do executives need to do now to prepare? According to Matt Beane, University of California, Santa Barbara Technology Management professor, for all the opportunities these technologies create, theyโre also having unforeseen impacts on learning and innovation.
โThe way we learn and build skills today is changing itself,โ says Beane, a digital fellow at the Stanford University Digital Economy Lab and MITโs Initiative on the Digital Economy. โThe headlong introduction of sophisticated analytics, AI, and robotics into many aspects of work is fundamentally disrupting traditional on-the-job learning, which has always been a time-honored and effective approach.โ
Author of the new book, โThe Skill Code: How to Save Human Ability in an Age of Intelligent Machinesโ (Harper Business, June 2024) and a leading social scientist and former principal for a management consulting firm focused on group and team dynamics, Beane studies the relationship between humans and intelligent technologies. His research shows leaders, including CEOs, chief technology officers and human resource executives, that as tools become more sophisticated, workers get fewer opportunities for mentorship that involves practice and learning from mistakes; the very kind necessary to effectively leverage those sophisticated tools. As a speaker and advisor, Beaneโs unique expertise at the intersection of AI and the future of work provides practical frameworks for leaders to develop strategies for implementing tech solutions while enabling workers to simultaneously build skills and connections with each other and enhance an organizationโs human capital. ย
Our Chimeric Future with AI: Bringing Mentorship Into the Future
With workers becoming disconnected from each other when humans are removed from adjacent tasks, Beane points out that a mindful approach to AI system adoption is vital. The solution, he explains, is to automate and augment so everyone benefits.
โYou can automate in a way where the tide lifts all boats,โ says Beane, who was named to the Thinkers50 Radar Class of 2021. โItโs possible to apply automation such that it will empower experts to improve the quality of their output and the quality of their job as a result. Itโs more satisfying, more fulfilling and workers are more productive. The same can become true of the employees they work with.โ
With highly automated systems leading to fewer opportunities to learn through hands-on instruction, some workers are turning to unvetted resources like YouTube videos to see examples of expert work. With in-person, hands-on learning becoming rarer, Beane says we must find new, AI-enabled avenues for mentor/mentee relationships.
Such a relationship could take the form of AI-enabled skill and task matching systems, online skill repositories and newer hardware like augmented reality (AR) and virtual reality (VR)-powered systems that will intelligently connect expert and novice workers, allowing them to develop skills jointly. Itโs what Beane calls โour chimeric future.โ
โAn infrastructure like this would do for skill what the internet did for knowledge: it would become a place where we’re all contributing to and extracting value from a dynamic resource,โ says Beane, former Chief Human-Robot Interaction Officer of Humatics, an MIT-connected, full-stack IoT startup. โWe need a global learning infrastructure that doesnโt leave the skill haves and have-nots further apart. Organizations that build a 21st century โSkillHubโ like this will be relevant and successful thanks to an adaptive, engaged workforce.โ
Implementing AI While Enhancing Human Capital
Beane points out that while newly automated tasks may improve output quality in the near-term, the unintended consequences of removing humans from the process and siloing duties can be detrimental to an organization. With workers becoming increasingly disengaged and young employees unable to take advantage of traditional skills-building avenues like mentorship and apprenticeships, he says itโs critical for leaders to understand how individual jobs are connected and how their employees learn skills in the first place.
โMany times, leaders donโt realize they may be making a trade-off for better productivity while snapping the bonds between experts and novices,โ Beane explains. โLeaders need to be committed to the notion that itโs possible to implement a tech solution while enhancing these bonds โ and the skills that flow from them.โ
Beane drills down the most important aspects of quality skills development within expert-novice relationships with โThe Skill Code.โ For skill to flourish, heโs found, work needs to involve healthy forms of โthree Csโ: Challenge (difficulty and struggle), Complexity (broad, multi-dimensional context), and finally the irreplaceable human Connection (bonds of trust and respect). With research-backed checklists, his ideas can guide leaders and workers everywhere to set the stage for optimal skill development โ even while putting automation to work.
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Matt Beane, University of California, Santa Barbara Technology Management professor, has conducted extensive studies on robotic surgery, robotic materials transport and robotic telepresence in health care, elder care and knowledge work. His research appears in top management publications such as Harvard Business Review and Administrative Science Quarterly. Named a Human-Robot Interaction Pioneer, Beane is a regular contributor to such popular outlets as Wired, MITโs Technology Review, TechCrunch, Forbes and Robohub. Beane has also served as a founding executive at Humatics, an MIT-connected, full-stack IOT startup, and a principal for a management consulting firm focused on group and team dynamics.
Beane graduated from Bowdoin College with a degree in philosophy. He received his masterโs degree and Ph.D. from the MIT Sloan School of Management.
Matt Beane is available to advise your organization via virtual and in-person consulting meetings, interactive workshops and customized keynotes through the exclusive representation of Stern Speakers & Advisors, a division of Stern Strategy Groupยฎ.
How to Adopt AI While Protecting Human Capital
Artificial intelligence and robotic systems allow organizations to streamline processes and ensure output quality, but they can also have unintended consequences. In this eye-opening presentation, University of California, Santa Barbara technology management professor Matt Beane explains that we are unintentionally removing humans from processes and siloing tasks, which can lead to employees becoming disengaged and behind on building skills. An expert on human-machine interaction, heโll illustrate how on-the-job learning, the traditional route for skill-building, is under threat, but there are ways to bring it back stronger than ever. Audiences will gain strategies for implementing tech solutions while enabling workers to build skills and connections with each other, greatly enhancing an organizationโs human capital.
Skillsharing and Mentorship in โOur Chimeric Futureโ
With on-the-job learning and mentor/apprentice relationships falling by the wayside due to increased automation, how will novices learn from experts in the future? In this fascinating presentation, University of California, Santa Barbara technology management professor Matt Beane will describe what he calls โour chimeric future.โ Heโll outline a vision for a global learning infrastructure that will match mentors and mentees through artificial intelligence and other cutting-edge technologies. Explaining that such systems will allow workers to build skills by connecting with experts, regardless of location, Beane gives audiences a window into a future where virtual on-the-job learning will still be possible and just as vital as it always has been.
Activating Quality Skills Development with The Skill Code
Think of your most valuable skill, the thing you can reliably do under pressure that delivers results and looks like magic to those nearby. How did you learn it? In this engaging presentation, University of California, Santa Barbara professor Matt Beane reveals how his years of research shows that traditional ways of learning, like mentor/apprentice relationships, are being threatened by the insertion of new technologies between junior and senior workers. Beane will draw on his new book, “The Skill Code: How to Save Human Ability in an Age of Intelligent Machines,” to reveal his research-backed framework that accounts for quality skills development. This code consists of โthe three Csโ. Audiences will learn how to ensure the healthy version of this โskill code,โ including Challenge, Complexity and Connection. Beane explains what the skill code is, how itโs being threatened, and what a hidden group of “shadow learnersโ can teach us in rewriting the skill code for human flourishing in the 21st century.
Finding Innovation in the Shadows of Your Organization
According to University of California, Santa Barbara professor Matt Beane, the way weโre redesigning work to take advantage of intelligent technologies is a key reason weโre not yet seeing massive, related gains. Weโre driving innovation into increasingly illegitimate places โ the shadows of our organizations. As Beane explains, todayโs workers have fewer approved opportunities to experiment and adapt on the job. Why? Because sophisticated tools like artificial intelligence are making it easier to watch and measure employee behavior, pushing them to less observable and appropriate practices to learn and innovate. We can still innovate and adapt in this shadowy environment, but the standard playbook wonโt do, says Beane. In this presentation, he explores deviance in work involving machine intelligence. He also shares his vision that flips the current reality into one of distributed, AI-enhanced organizations that empower us to innovate out in the open.
The War Between Technological Productivity and Human Skill
November 12, 2024
Saving Human Skills with AI: A Conversation With Matt Beane (Audio)
November 5, 2024
Robot Talk Episode 93 โ Matt Beane (Audio)
October 11, 2024
Author Talks: How to Make Skill Development Count in the Digital Age
September 12, 2024
โThe Skill Codeโ: Connections at Work
September 6, 2024
Matt Beane on "Getting to Yes, And" (Audio)
July 23, 2024
Gen AI is Coming for Remote Workers First
July 22, 2024
Building Expertise in the AI Era
June 19, 2024
Why L&D Teams Are Mission Critical To AI Adoption
June 11, 2024
Future of Work: AI and Human Skills (Audio)
May 16, 2024
Skills Youโll Need in The Age of AI (Audio)
May 14, 2024
The Code to Building Skills in Our Modern Workplace
April 29, 2024
The Next Big Idea Clubโs June 2024 Must-Read Books
April 9, 2024
AI-Powered Profits: Navigating the New Business Renaissance
October 3, 2023
The Jobs Most Exposed to ChatGPT
March 28, 2023
Robots? Some Companies Find Only Humans Can Do the Job
November 3, 2022
2 From MIT Sloan Make Thinkers50 Radar List
February 3, 2021
Working With Robots in a Post-Pandemic World
September 16, 2020
The Perils and Promise of Artificial Conscientiousness
December 17, 2019
Killing โDead-Endโ Jobs Blocks Career Opportunity
October 7, 2019
Learning to Work with Intelligent Machines
September-October 2019
How Robots and AI Are Changing Job Training (Audio)
August 6, 2019
AI Unready
March 16, 2019
Robo-Sabotage Is Surprisingly Common
August 4, 2015
Beyond Safety: Is Robotic Surgery Sustainable?
July 29, 2015
The Avatar Economy
July 18, 2012
The Skill Code: How to Save Human Ability in an Age of Intelligent Machines
(Harper Business, June 2024)
Resourcing a Technological Portfolio: How Fairtown Hospital Preserved Results While Degrading Its Older Surgical Robot
(Administrative Science Quarterly, May 2023)
Shadow Learning: Building Robotic Surgical Skill When Approved Means Fail
(Administrative Science Quarterly, January, 2018)
โWith riveting stories, 'The Skill Code' offers a timeless recipe for skill development and thriving at work in the age of AI.โ
โWith academic rigor and actionable insights, Mattโs watershed book offers a new approach to skill development that aligns the age-old realities of expert-novice collaboration with the innovative potential of intelligent tools.โ
โIn this vital book, Beane focuses us on an immediate, hidden concern: that todayโs powerful technologies give people fewer opportunities to learn as they try to master a difficult craft.โ
โIf youโre worried about your skills becoming obsolete, this book may be your saving grace. Matt Beane has spent his career studying how to gain and maintain expertise as technology evolves, and his analysis is both engrossing and edifying.โ
"Beane shows us the true human-centered approach to AI advancements and how we must act now to achieve the next generation of human skills coupled with the productivity gains from AI.โ
โThere has never been a more important time for this bookโnor anyone more qualified to explain what it all means than Matt Beane. 'The Skill Code' teaches urgent lessons.โ
โBeane delivers an essential, meticulously-researched roadmap for combining intelligent technologies with the way humans have built skill for thousands of years to reach our brightest possible future.โ
โMattโs decades-long curiosity about human work positions him perfectly to offer such a thoughtful and well-researched guide to skill development in this age of generative AI.โ
โ'The Skill Code' is a compelling reminder of the timeless importance of human guidance in an increasingly automated world.โ
โMatt Beaneโs 'The Skill Code' is a rollicking read, itโs magnificently researched, and, above all, a relentlessly useful and timely playbook.โ
"Styling the content as 'technology agnostic,' author Beane identifies a strategic mindset necessary to navigate the transformative use of AI technology in a multitude of work environments. Distilling critical workplace conditions down to the three Cs (challenge, complexity, and connection) vital in nurturing team membersโ feelings of value and development, Beane shares research on the consequences to expertise when these conditions are compromised by intelligent machines or robotics assuming portions of the work. One of the most striking examples involves the use of robotics in surgical procedures. Ultimately, Beane identifies a manner of proactive learning that involves individuals breaking out of prescribed protocols to become 'shadow learners.' This method of skill acquisition requires leaning into curiosity, creativity, and assertively expanding technical understanding to achieve the expertise needed to drive innovation. Utilizing the checklisted suggestions will position adopters to maintain awareness of skill-loss risks while employing strategies for innovation to prevent that loss for themselves and new colleagues."