Becoming An AI Orchestrator

Sadie St Lawrence is the Founder and CEO of the Human Machine Collaboration Institute (HMCI), an organization leading the forefront of research and education to enhance human and machine collaboration in the age of AI.

• Foreword............................................................................................... xiPreface.................................................................................................xiiiIntroduction........................................................................................xv  Ch. 1: BECOMING THE ORCHESTRATOR................................1From Surveys to Synapses: A Journey to AI...................................... 2The Key That Unlocked It All: Language.......................................... 3The Shift............................................................................................... 5Becoming an Orchestrator................................................................... 6Elevating Performance: Bridging the Skills Gap................................ 7A Mindset Shift.................................................................................... 8Exercise: Enhancing Your Questioning Skills..................................10Conclusion...........................................................................................10  Ch. 2: ASK AND IT IS GIVEN: A PRACTICAL GUIDE TO PROMPTING...... 13The Rise of Generative AI..................................................................14Generative AI Applications for Knowledge Workers...................... 15How I Use AI on a Weekly Basis........................................................19Prompting: The Art of Conversing with AI.....................................21An Advanced Prompting Toolkit..................................................... 23Improving Your Prompts.................................................................... 25Choosing the Right Tool.................................................................... 28Key Considerations for Choosing Your Tool.................................. 29Conclusion.......................................................................................... 30  Ch. 3: WHAT IS AI AND HOW DOES IT LEARN?..........................31Defining AI..........................................................................................31AI Timeline: Key Milestones..............................................................35Everyday AI......................................................................................... 36Understanding the AI Effect.............................................................. 38Building AI Systems........................................................................... 40Machine Learning...............................................................................42How Do Neural Networks Learn?..................................................... 46Key Terms: Building Your AI Vocabulary....................................... 49Conclusion.........................................................................................51  Ch. 4: AI APPLICATIONS............................................................... 53Factors Influencing AI Applications..................................................53AI Capabilities and Applications .....................................................55AI’s Impact on Roles.......................................................................... 56AI in Marketing.................................................................................. 58AI in Sales........................................................................................... 60AI in Operations.................................................................................62AI in Finance...................................................................................... 64AI in Product Development............................................................... 66Finding the Right AI Applications....................................................67Conclusion.......................................................................................... 69  Ch. 5: AI ORCHESTRATION AT SCALE.......................................71The Role of the AI Orchestrator........................................................71Becoming the Observer.......................................................................74Personal AI Orchestration at Scale.................................................. 77Task Automation................................................................................ 80AI Agents............................................................................................ 83From Models to Mature Systems: The Life Cycle ofTraditional Machine Learning..................................................... 89AI Orchestration for the Enterprise................................................. 92Level Setting........................................................................................ 95Quantify and Assess.......................................................................... 97AI Guidelines and Policies................................................................. 99Training..............................................................................................103Continual Empowerment.................................................................104Measuring Impact..............................................................................106Conclusion: From Personal Practice to Organizational Strategy..........111  Ch. 6: ETHICAL MACHINES.......................................................... 113What Is Ethics?...................................................................................114Levels of Risk.....................................................................................116Narrow AI’s Limitations and Challenges.......................................119AI Alignment.................................................................................... 130Expanding AI-Related Laws.............................................................134Intellectual Property: Creativity and Controversy inthe AI Era......................................................................................138Safety and Security............................................................................141Other Considerations.......................................................................146Conclusion: Orchestrating the Future of AI...................................149  Ch. 7 A CHANGING TIDE: AI’S IMPACT ON SOCIETY............. 153Digital Basics...................................................................................155Exercise: Reflecting on the Evolution of Work...............................157A Constant of Change......................................................................159How AI Is “Actually” Changing Work............................................161Making the Transition......................................................................164Augmentation....................................................................................168Conclusion....................................................................................... 171  Ch. 8 SHAPING THE FUTURE AS AN ORCHESTRATOR............ 173Lessons from History: Jevons Paradox and the Luddites.............. 174An Abundant Future........................................................................176Empowering Everyone to Shape the Future....................................181What Comes Next?............................................................................182Navigating the Road Ahead.............................................................186Embrace Your Role as the Orchestrator..........................................189Orchestrating Your Future................................................................191  BIBLIOGRAPHY...................................................................... 193INDEX........................................................................................ 195