Decision Intelligence for Human Resources: Achieving Desired Outcomes
with AI and Data

Price: $299

OVERVIEW

"If you think that AI takes the human out of the equation, think again! All technology is a reflection of its creators and systems that operate at scale can amplify human shortcomings, which is one reason why developing decision intelligence skills is so necessary for responsible AI leadership." -- Cassie Kozyrkov (Head of Decision Intelligence at Google)

Intensive One-Day Training & Certificate

Data is the seventh sense of humanity. It empowers us by giving us crucial and hidden information that helps us to understand ourselves, and to make decisions that impact the future.

In Human Resources (HR), data is increasingly powering Artificial Intelligence (AI), Machine Learning, and other predictive technologies, as they move from “research projects” to mainstream elements of the HR toolkit. Organizations are using AI to manage functions and decisions—including recruitment, skills assessment, training, and employee engagement—that were previously handled by people.

However, these technologies are new, and so they introduce risks along with their potential benefits that can have a huge impact on employees and the entire organization. Today's HR managers are faced with the daunting challenge of educating themselves, and their staff, to understand and manage how these technologies drive important decisions and how to maximize the benefits while minimizing the unintended consequences.

A recent HR study highlighted the following four problems with AI in HR management:

  • Complexity of HR outcomes (for example, measuring things such as performance is difficult and the results unreliable);
  • Small data, generated by infrequent occurrences such as employee dismissals;
  • Ethical or legal constraints, which generally require that decisions have explanations; and
  • Employee reactions, which humans can monitor and control, but algorithms have trouble handling.
Researchers recommended that employers get workers' input on outcomes, gauge the regularity of human decision-making used in training the algorithm, create an appeals process and collect data with improving the processes in mind first.

Decision Intelligence (DI) is the discipline that bridges the important decisions we make to data and AI. It helps organizations to effeciently use AI and data, as well as to analyze existing AI and data initiatives within the context of decisions made and their impacts on organizational goals.

Recently named by Gartner as one of the five major trends shaping analytics and business intelligence, Decision Intelligence (DI) helps organizations to make better decisions using AI. A growing number of companies are using DI to guide their decision-making including Google, IBM, Microsoft, and more. DI brings the best of AI, machine learning, applied data science, social science, management science, and complex systems analysis to multiple roles in the organization, helping to bridge from “what do we know?” and “what can we predict?” to “what should we do?

DI builds skills needed to lead AI projects responsibly and design objectives, metrics, and safety nets for automation at scale. It goes beyond current systems – which focus on questions and insights – to what you really need, which is to understand how actions lead to outcomes.

This intensive, one-day course will provide a hands-on, interactive, deep dive into DI for technical and non-technical HR professionals, taught by Dr. Lorien Pratt (leading DI pioneer, Chief Scientist & Cofounder, Quantellia, LLC, and author of Link: How Decision Intelligence Connects Data, Actions, and Outcomes for a Better World).

This course will explore the following potential use-cases for Decision Intelligence in HR management:

  • Recruitment
  • Performance and Workforce Development
  • Skills Assessment
  • Training and Upskilling
  • Conflict Resolution
  • Budgeting
  • Defining an AI Code of Ethics for HR
This is the only Decision Intelligence course currently available in New York City, being taught by one of the leading pioneers in the field.

Upon satisfactory completion of the course, a ttendees wil receive a Certificate of Completion signed by Dr. Pratt and Tech 2025.

METHODOLOGY

This course combines formal instruction with both individual exercises to build and test skills (quiz, brief writing assignment, etc.) and social, group breakout exercises.  Attendees will also be required to interact in our private, online forum (access granted after registration). This course is practical and interactive, with plenty of time for questions.

Upon satisfactory completion of the course and its requirements, students will receive a physical and digital Certificate of Completion signed by Tech 2025 and Dr. Lorien Pratt.

COURSE OBJECTIVES

A recent HR study highlighted four problems with AI in HR management:
  • Complexity of HR outcomes (for example, measuring things such as performance is difficult and the results unreliable);
  • Small data, generated by infrequent occurrences such as employee dismissals;
  • Ethical or legal constraints, which generally require that decisions have explanations; and
  • Employee reactions, which humans can monitor and control, but algorithms have trouble handling.
Researchers recommended that employers get workers' input on outcomes, gauge the regularity of human decision-making used in training the algorithm, create an appeals process and collect data with improving the processes in mind first.

This course will explore the following potential use-cases for Decision Intelligence in HR management:

  • Recruitment
  • Performance and Workforce Development
  • Skills Assessment
  • Training and Upskilling
  • Conflict Resolution
  • Budgeting
  • Defining an AI Code of Ethics for HR
By the end of this workshop, you will learn:

  • How to combine the best evidence and human expertise in your organization to answer the question: “If I make this decision today, what will be the outcome tomorrow?”
  • How to integrate data and AI into to your most important decisions.
  • Current market research on Decision Intelligence.
  • How to create a decision collaboration team to design, test, and update your organization’s most important decisions, creating continuous improvement and organizational learning.
  • How to combine intangible factors, like employee engagement and customer experience, with tangible ones, like cost of goods and closed sales.
  • How to make decisions that have multiple outcomes.
  • How to avoid the most common traps that cause data-driven decision support projects to fail, and how to radically accelerate the value that you receive from all data, big and small.
  • The three secrets of small data, and how you can use it to supercharge decisions.
  • How to ensure your team is aligned around outcomes, so that every decision pulls in the same direction.
  • The secret to “seeing around corners” – predicting the future by combining data with your team’s expertise.
  • How to manage assumptions and to change direction when reality doesn’t quite match them.
  • How organizations are adopting Decision Intelligence in various ways including Mastercard, Google, IBM, Microsoft, NASA, and across sectors including telecommunications, finance, healthcare, nonprofit, and more.
  • How DI helps employees to become more data-literate.
  • How DI is used in startups versus enterprise organizations.
  • How the media is beginning to shape the DI narrative for the business community and where DI is in the Hype Cycle.
  • How DI impacts ethics in decision-making.
  • How to position DI in job posts.

WHO SHOULD TAKE THIS COURSE?

The course is designed for HR professionals with an emphasis on decision-makers. Since the best decisions are made from diverse points of view, the ideal attendee mix is also diverse, including technical as well as non-technical experts.

COURSE OUTLINE

Getting Started with Decision Intelligence

  • Introduction and course overview
  • Group introduction exercise: what would we like to accomplish today?
  • Cold opener: Building a quick decision model together

Understanding Artificial Intelligence/Machine Learning and How it Fits into Decisions

  • AI in a single slide
  • History and status of AI today
  • The driver versus the automotive engineer: how to use AI without your head exploding
  • The decision context gap: what’s missing from AI, and why it’s losing its way
  • Research findings: how many big decisions are designed, tracked, monitored, improved?
  • Decisions in Human Resources that can be modeled
  • Let’s talk about the word “Intelligence”
  • Big data, big models, big complexity
  • The Decision Factory
  • The gap between data science and decision makers
  • AI, predictive analytics, and Forecasting: A Short History of the Future

AI in HR: Big Wins and Epic Fails

  • Some AI HR use cases: predictions made / decisions supported
  • Epic fails from outside the room
  • The AI/DI HR maturity model
  • Lessons learned from workshop participants

Group Exercises: Decision modeling

  • Find your group and identify your action-to-outcome decision
  • Brainstorm your outcomes
  • Brainstorm your levers (actions)
  • Brainstorm your externals
  • Design a cause-and-effect link
  • Identify where AI/ML can fit into your decision model

Wrap up: best practices, lessons learned, and next steps

INSTRUCTOR BIO

Dr. Lorien Pratt
INSTRUCTOR: Dr. Lorien Pratt, Chief Scientist & Cofounder, Quantellia, LLC, Author of  Link: How Decision Intelligence Connects Data, Actions, and Outcomes for a Better World (Sept. 2019)

Dr. Lorien Pratt has been delivering machine learning solutions for her clients for over 30 years, including the Human Genome Project, SAP, the Colorado Bureau of Investigation, the US Department of Energy, and the Administrative Office of the US Courts.

Having led the teams that invented Transfer Learning and Decision Intelligence (DI), she is recognized as a leading innovator by the Women Inventors and Innovator’s Project. Pratt also authored dozens of academic papers, has been on multiple program committees for NIPS and NSF, was guest editor for the journals Machine Learning and Connection Science, wrote a chapter in The People Centered Economy, and co-edited the book:Learning to Learn with Sebastian Thrun.

As chief scientist and co-founder of Quantellia, Pratt speaks worldwide today, has given two TEDx talks, appeared as a keynote speaker at MCubed and was featured on public radio’s Marketplace and TechNation. Pratt's most recent book, Link: How Decision Intelligence Connects Data, Actions, and Outcomes for a Better World, was published by Emerald earlier this year.  Pratt’s company also co-sponsors the Responsible AI/DI Summit, and she blogs at www.lorienpratt.com.

Twitter:  @LorienPratt LinkedIn:  https://www.linkedin.com/in/lorienpratt/ Facebook:  https://www.facebook.com/lorien.pratt

PREREQUISITES

There are no prerequisites for the course. Both technical and non-technical professionals from all backgrounds are welcome. This course is designed to challenge and engage everyone, regardless of level of expertise or background.

REQUIRED

Several exercises will take place in the online course forum. Please bring a laptop, tablet, mobile phone or other digital device to get online access to materials and exercises, and to engage in the course forum during class (web and mobile based). Login credentials will be emailed to participants after registration.

If you have any questions or need additional information, email us at theteam@tech2025.com.

Thank you!
Dr. Lorien Pratt
INSTRUCTOR: Dr. Lorien Pratt, Decision Intelligence pioneer, Chief Scientist & Cofounder, Quantellia, LLC, Author of Link (Sept. 2019)

DR. PRATT'S BOOK

Ted Danson does Decision Intelligence in The Good Place

Course Registration

This is the only Decision Intelligence course currently available in New York City, being taught by one of the leading pioneers in the field.

Registration limited to 30 people.

Refund Policy: Refunds given up to 7 days before the date of the course. No refunds will be given on cancellations made thereafter.

Start Time

8:30 am

Saturday, February 22, 2020

Finish Time

4:00 pm

Saturday, February 22, 2020

Address

295 Madison Avenue, NY, 10017 NY

Event Participants