AILAI for Leaders
Course Overview
It is very unlikely that we will be supervised and managed by machines in the near future. However, to date, there has been tremendous focus on these questions:
→ Will AI turn on us and be a danger to humans?
→ Will AI take our jobs?
The real danger of AI is the scenario where people don’t have the skills, capabilities, and confidence to harness AI to the fullest to make them better at their jobs. AI, and specifically, generative AI, is only as good as the workforces’ ability to ask it the right questions and interpret the answers correctly. Therefore, the real question is, “how do we get the workplace and workforce ready to make the best use of AI”. To harness it to make us more productive than any humans in history?
Imagine, what would the world of work be like if we had the skills, capabilities, and confidence to turn AI and technological change to our advantage. One where we quickly master the right skills to make us better at our jobs, and AI becomes a powerful tool – a digital expert assistant - that does the gritty, heavy lifting. We, the humans, do the more interesting work faster, better and with greater contribution than ever before.
A recent survey by Eightfold AI of more than 250 HR leaders found that 92% plan to increase use of AI in at least one area of the workplace. Subsequently, we will see AI finding its way into every part of the organization.
This interactive workshop will explore the changes to the workplace and the workforce from the advent of generative AI, with a focus on how to prepare the organization to effectively harness AI tools to increase people productivity. You will take away concrete ideas, methods, tools and create an action & change plan to prepare the workforce to effectively harness AI.
Key Takeaways
Course Outline
→ Introducing AI & The Different Types of AI
• Reactive
• Theory of Mind
• Limited Memory
• Self Aware
→ How Does AI and Generative AI Work?
There are many types of AI however Generative AI is currently the most used in the workplace
→ AI and Business
Accenture had a study suggesting that AI could double annual economic growth rates by 2035 and increase labor productivity by up to 40%, but how?
Discussion: Opportunities for AI in your view
Define and discuss areas of application for AI in your organization
→ AI Terminology and Related Concepts
• Machine Learning
• Deep Learning
• Neural Networks
• Natural Language Processing, Speech, Vision Outline the main concepts and terminology of AI
→ Impact Examples of Generative AI?
How will AI effect business leadership? The opportunities and the challenges.
→ AI and Leadership
How will AI effect business leadership? The opportunities and the challenges.
→ What is the Size of The Prize?
• Unprecedented People Productivity and Value
AI has the potential to increase global GDP by up to 2.9% annually (according to Goldman Sachs) How will this be accomplished?
→ Challenges in Harnessing AI in the Workplace It is critical to match people strategy to execution of the corporate strategy. How to do this, effectively?
Discussion: Where is generative AI most relevant in your organization and why?
Define and discuss areas of most promise for AI
→ What Roles/Jobs Will AI Impact the Most/Least
Cost savings are not worth as much as increases in performance
Exercise 1: Define most promising roles/jobs for AI
As a group, discuss and list out the roles/jobs that would be most suitable for augmenting with AI
→ Day One Wrap up
Let’s wrap up the day; answer any questions, discuss what we learned and prepare for Day Two.
→ The Role of AI in the Workplace
• It is narrow and very specific; the Servant
The human role is to ask AI the right questions and interpret the answers/ Cost savings are not worth as much as increases in performance
Exercise 2: Define the role of AI in your workplace - will it replace or augment the workforce? (or both?)
AI has very specific role to play in the organization; the challenged is to decide what to focus it on (and not to focus on)
→ The Role of the Human in Using AI in the Workplace
• The Master: in control as judge and jury The human role is to ask AI the right questions Cost savings are not worth as much as increases in performance
→ How Do Humans and Machines Work Best Together?
The most effective use of AI is to augment humans making them better and more productive; but how?
Discussion: Combining humans and machines; how will this work best?
Put the two roles together and define the boundaries and responsibilities.
→ Creating Awareness in the Workplace on What AI Is (and is not)
Most everyone has heard of AI however there are varying degrees of understanding what it is and how it is applied in the workplace
Exercise 3: Build an action plan to raise awareness and understanding of AI in your workplace
Define a plan to get everyone on the same level of understanding of AI in your workplace
→ Building the Skills, Capabilities and Confidence to Harness AI
Once it is clear what AI is in your organization, the next step is build the new skills, capabilities and confidence to partner with and leverage AI
→ Why Data is Essential to AI
Once it is clear what AI is in your organization, the next step is build understand the role of data in AI
→ Finding, Generating and Managing Data
Data management is absolutely the key to artificial intelligence. What is best practice in data management?
→ Integrating Data into Products and Services
AI data and outputs completely changes the way companies create and manage their products
→ How to Develop an AI Data Strategy
Exercise 4: Build AI Data Strategy Outline
Define a plan for managing data for AI in your workplace
→ Day Two Wrap up
Let’s wrap up the day; answer any questions, discuss what we learned and prepare for Day Three.
→ Creating the Roadmap for AI Change in the Workplace How does the organization get from A to B in driving AI change?
Exercise 5: Draft an AI Change Roadmap
Put your AI change strategy into the context of organizational change drive by AI
→ Changing Organization Structure and Operating Models to Optimize AI
19th and 20th century organizations structures and operating models do not work in a digital world; what needs to change?
Discussion: New organization structures to optimize AI
How will your organization structure change to optimize new technologies like AI?
→ Changing the Employee Experience in the AI Age
The workplace will never look the same again. Soon the keyboard, mouse and screen (even the smartphone) will disappear. What is the impact?
→ The Economics of Improved Productivity Through AI
The potential for major improvements in people performance has significant upside for organizational value. What is the potential upside worth?
→ Cost Savings vs Productivity and Performance Improvement
Cost savings are only a fraction of value of improvements in performance.
Exercise 6: Calculating the value of AI productivity gains
Define the value drivers.
→ Five Step Process for AI Transformation - Developing a Value Case AI Change
The Five Step Process for Transformation
• Pinpoint
• Inventory
• Validate
• Organize
• Transform
Case Study: Creating a Business Case
Structure a compelling business case for change to be used when you get back to work.
→ Build Your AI Transformation Action Plan
→ Future-proofing Your People’s Skills for the AI Age
The speed of change that AI will drive will require looking into the future to define what new skills and capabilities will be required.
Discussion: How to Future-proof your workforce for AI change
Put your people strategy into the context of corporate strategy and integrated talent management
→ Day Three Wrap up
Let’s wrap up the day; answer any questions, discuss what we learned and prepare for Day Four.
→ Exploring Today’s AI Concerns
AI is becoming a more and more powerful tool in the workplace. How can the workforce use it carefully and thoughtfully?
Discussion: Let’s reflect on AI concerns and potential approaches to mitigation
→ Foundations of Trustworthy AI
The organization and its leaders need to put in place operational procedures to ensure AI is used appropriately; what does this look like?
→ Exploring AI & Ethics
With the rise of Generative AI, more than ever before, organizations need to think about building AI systems in a responsible and governed manner.
→ Understanding Bias in AI
In some generative AI applications algorithmic bias can creep in — and it can quickly lead to unexpected and undesirable outcomes. But how does this happen, and how do we, detect/avoid this?
Exercise 7: Discuss and List mitigations for potential unethical use of AI and preventing bias in AI
→ Platform Culture
Enormous growth and technology and capability that’s changing the way people interact with each other with their jobs and with their money; what will AI bring to the party?
→ AI & Business Model Evolution
There’s been a dramatic change in the business models that companies are using. See the market value of Apple and Amazon’s they’re racing $2 trillion valuations much faster than legacy companies like GE.
→ New Asset Types
There’s a new set of assets that are driving platform business models, and it’s a completely different approach. Platform companies are able to use less to do more. Platform Companies have totally different economics than the rest of the market. But what does this mean?
→ Day Four Wrap up Let’s wrap up the day; answer any questions, discuss what we learned and prepare for Day Five.
→ Amazing Future Trends to Watch Out For
From the elongation of human lifespan to leveraging people on the autistic spectrum to increase innovation; the future is bright.
→ Amazing Future Technologies to Watch Out For
AI is not the only workforce technology on the way. The meta verse and Apple Vision Pro headsets will change work dramatically.
Discussion: What Does the Future Hold for You
How will your organization look like after AI change?
→ The Evolution and Future of AI
How will AI (and the Metaverse) evolve and change the workplace.
→ What’s Next for AI
AI’s impact in the next five years? Human life will speed up, behaviors will change and industries will be transformed — and that’s only what can be predicted with certainty.
Discussion: Let’s reflect where AI is going
→ What will society look like when AI is everywhere?
The workplace and our homes will never be the same again.
→ Hotbeds of AI Innovation
Let’s take a look at where AI Innovations is taking place.
→ Course Wrap UP
Let’s discuss and summarize what we have learned.
Who Should Attend?
Configured more broadly for:
→ Executives and senior managers and/or their direct reports;
→ HR, Finance, Marketing, Supply Chain, Customer Services, IT