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MIT SA+P AND MIT SLOAN

AI Leadership

ORIENTATION STARTS

6 October 2021

PRICE

$3,200 USD

Orientation starts:

6 October 2021


Length:

6 weeks


Registration closes:

13 October 2021


Effort:

7-10 hours per week


Price:

$3,200 USD


Certificate issued by:

MIT SA+P and MIT Sloan


Language:

English

Orientation starts: 6 October 2021

Length: 6 weeks

Registration closes: 13 October 2021

Effort: 7-10 hours per week

Price: $3,200 USD

Certificate issued by: MIT SA+P and MIT Sloan

Language: English

Why study AI Leadership?

Throughout this course, participants reflect on the leaders they are, the leaders they could be, the tools they can use to create an organization of learning and innovation and the resources available to plan for the future.

 

Connecting Leadership and Artificial Intelligence (AI), managers, directors and CEOs will learn how AI technology can amplify current leadership practices to improve individual, team and organizational leadership capabilities.

 

In this six-week online course, leaders will gain new leadership capabilities to improve the ability of their teams to innovate and succeed, and to help their organizations act with agility and purpose.

Harness AI as a leadership tool for creating innovative systems and organizations:

  • Learn essential leadership and AI concepts
  • Apply AI tools to leadership processes
  • Improve leadership capabilities using AI tools
  • Assess and evaluate current leadership mindset, teams' ability to innovate and reinvent in a changing world, and organizational ability to respond to change
  • Envision and plan the future by architecting your organization at all levels - individual, teams and system-wide

AI Leadership

Take ownership of AI technology to position yourself for the future:

Learn

role-specific skills to accelerate your career

Empower

your decision making by managing data through AI

Gain

knowledge and confidence to support the integration of AI into your organization

ENROLLMENT BEGINS

 

Now

 


 

PRICE

 

$3,200

The Learning Journey

(Course Curriculum)

This project-based course walks you through, step-by-step, how to introduce and manage change within your organization using AI.

Module 0: Orientation

An overview of the program, the next-generation AI platform used to deliver it, and the community of fellow AI innovators and leaders.

Module 1: AI + Leadership

Establish a foundational understanding of how to use AI as a tool for effective leadership. Learners will also explore the process of creating an organization as a system of innovation by examining:

  • Individual leadership strengths, aspirations and growth opportunities
  • Team capabilities, talents and ways to drive performance
  • Organizational structures and culture to support bottom-up and top-down innovation

 

Key module concepts include:

  • Historical context
  • Foundational concepts
  • Role of AI + Leadership

Module 2: Extended Intelligence

Understand innovation at the system level by looking at the organization as a gameboard, where structures and cultures are vital in supporting individuals and teams. Through systems thinking and collective intelligence, learners will make sense of their constantly changing environment and begin to evaluate their organization's current structure.

 

Key module concepts include:

  • Systems thinking
  • Collective intelligence + knowledge
  • Architecting the gameboard at the organizational level
  • Extended intelligence (EI)
  • Autonomy + control

Module 3: Developing a New Leadership Mindset for Data

Explore the role of data as a valuable tool in the decision-making process. Learners are introduced to xTeams and AI tools as aggregators for building and nurturing the types of connections needed, both inside and outside an organization, to support complex knowledge transfer and creative solution-finding through higher levels of cooperation.

Key module concepts include:

  • Developing a leadership mindset for data
  • Architecting the gameboard at the team level
  • AI tools
  • xTeams building and simulation

Module 4: Developing Your Leadership Signature

Focus on individual leadership capabilities to prioritize innovation, autonomy and control. Participants will learn how to engage in sensemaking, relating, inventing and visioning to build effective teams, tap into organizational wisdom and create agile organizations. Using self-awareness of their strengths, weaknesses and values, participants will develop the capacity to authentically lead across a variety of situations.


Key module concepts include:

  • Individual leadership development
  • Key skills
  • Future leadership state: envisioning and planning

Module 5: AI Governance 

Analyze organizational and social responsibility to make ethical decisions. Data is the impetus for many big decisions, most of which have legal and social implications. Learn how AI can be used as a sensemaking tool in the decision-making process for all decisions, with a focus on ethics and responsibility.

Key module concepts include:

  • Leadership responsibility
  • Strategic implications of AI
  • Data regulation
  • Ethical standards

Module 6: AI + the Future of Work

Learn how to use AI technologies to make decisions that are consistent, socially responsible and impactful--with limited oversight. Learners will also examine trends and developments in AI, how to evaluate and choose which technologies to pursue and how to maintain adaptive teams to accelerate transformation.

Key module concepts include:

  • AI trends
  • Building a culture of innovation
  • Planning for a workforce of the future

Experiential Learning / Project Capstone

During the project capstone component of the course, you will define a business problem, explain how AI can help, and identify the leadership strategy needed to successfully implement the proposed solution.

Your instructors

Prof. Alex Pentland,
Faculty Director
Professor, Institute for Data Systems and Society
Media Lab, Sloan School
Alex "Sandy" Pentland is founding faculty director of the MIT Connection Science Research Initiative, which uses network science to access and change real-world human behavior, and is the Toshiba Professor of Media, Arts, and Sciences at the Massachusetts Institute of Technology (MIT). He also holds a triple appointment at MIT in Media Arts and Sciences, Engineering Systems Division and with the Sloan School of Business.

Sandy has helped create and direct MIT’s Media Lab, the Media Lab Asia, and the Center for Future Health. He chairs the IEEE Council on Extended Intelligence, and has been an Advisory Board member for Google, Nissan, Telefonica, the United Nations Secretary General, Monument Capital, and the Minerva Schools.

In 2012 Forbes named Sandy one of the "seven most powerful data scientists in the world", along with Google founders and the CTO of the United States, and in 2013 he won the McKinsey Award from Harvard Business Review. He is among the most-cited computational scientists in the world, and a pioneer in computational social science, organizational engineering, wearable computing (Google Glass), image understanding, and modern biometrics. His research has been featured in Nature, Science, and Harvard Business Review, as well as being the focus of TV features on BBC World, Discover and Science channels. His most recent books are Social Physics (Penguin) and Building a New Economy (MIT Press).
Prof. Deborah Ancona,
Faculty Director
Seley Distinguished Professor of Management and MIT Professor, Organization Studies
Deborah Ancona is the Seley Distinguished Professor of Management, a Professor of Organization Studies, and the Founder of the MIT Leadership Center at the MIT Sloan School of Management.

Her pioneering research into how successful teams operate has highlighted the critical importance of managing outside, as well as inside, the team’s boundary. This research directly led to the concept of x-teams as a vehicle for driving innovation within large organizations. Ancona’s work also focuses on the concept of distributed leadership and on the development of research-based tools, practices, and teaching/coaching models that enable organizations to foster creative leadership at every level.

She is the author of the book, X-Teams: How to Build Teams That Lead, Innovate, and Succeed (Harvard Business School Press) and the related articles, "In Praise of the Incomplete Leader," and "Nimble Leadership: Walking the Line Between Creativity and Chaos" (Harvard Business Review). In addition to x-teams, her studies of team performance have also been published in the Administrative Science Quarterly, the Academy of Management Journal, Organization Science, and the MIT Sloan Management Review. Her previous book, Managing for the Future: Organizational Behavior and Processes (South-Western College Publishing), centers on the skills and processes needed in today’s diverse and changing organization. Ancona has served as a consultant on leadership and innovation to companies such as Accenture, BI Pharmaceuticals, Bose, Bristol-Myers Squibb, the International Development Bank, Li & Fung, Scarborough Health Network, Takeda, OCP, W.L. Gore and YPO, and has served on the Board of the Penn Graduate School of Education.

Ancona holds a BA and an MS in psychology from the University of Pennsylvania and a PhD in management from Columbia University.

Rosalyn Picard
Faculty Director,

Professor of Media Arts and Sciences
Co-Director, Advancing Wellbeing Initiative
Faculty Chair, MIT Mind+Hand+Heart

Prof. Rosalind Picard, Sc.D., is an MIT professor, inventor, author, and entrepreneur. Her team’s inventions have been twice named to "top ten" lists, including the New York Times Magazine's Best Ideas of 2006 for their Social Cue Reader, used in autism, and 2011's Popular Science Top Ten Inventions for a Mirror that Monitors Vital Signs. Her book Affective Computing helped launch the field by that name, giving computers (including software agents, robots, and interactive games) the skills of emotional intelligence. She is one of the top two most-cited researchers in Digital Health and directs research at the MIT Media Lab on Affective Computing, especially focused on creating solutions to help people who are not flourishing or at risk of not flourishing. She teaches classes such as Affective Computing and Ethics, and AI for Good Mental Health. Picard’s inventions have led to AI-based advances in psychiatry and neurology, including the first smart watch (commercialized by Empatica, sold as “Embrace”) cleared by FDA for monitoring and alerting to seizures, and wearable devices used by thousands of researchers globally for collecting medical data used in clinical trials and patient-focused research. Picard has co-founded two successful businesses Affectiva and Empatica. Empatica recently created a new AI wearable, in use in studies by the US Health and Human Services, for warning of a likely viral respiratory infection. She has a TEDx talk viewed by nearly two million people, and has received a variety of recognitions including one of the highest honors for an engineer, election to the National Academy.

Guest speakers

Throughout the course, you will also learn from leading academic and industry experts from startups, venture capital, healthcare systems, government, pharma, med tech and high impact members of the healthcare ecosystem.

Your instructors

Prof. Alex Pentland,

Faculty Director

Professor, Institute for Data Systems and Society
Media Lab, Sloan School

Prof. Deborah Ancona,

Faculty Director

Seley Distinguished Professor of Management and MIT Professor, Organization Studies

Guest Speakers

Rosalind Picard,
Faculty Director
Professor, MIT Media Laboratory
Director of Affective Computing Research
Chairman, Cofounder, and Chief Scientist of Empatica,
Faculty Chair, MIT MindHandHeart
Prof. Rosalind Picard, Sc.D., is an MIT professor, inventor, author, and entrepreneur. Her team’s inventions have been twice named to "top ten" lists, including the New York Times Magazine's Best Ideas of 2006 for their Social Cue Reader, used in autism, and 2011's Popular Science Top Ten Inventions for a Mirror that Monitors Vital Signs. Her book Affective Computing helped launch the field by that name, giving computers (including software agents, robots, and interactive games) the skills of emotional intelligence. She is one of the top two most-cited researchers in Digital Health and directs research at the MIT Media Lab on Affective Computing, especially focused on creating solutions to help people who are not flourishing or at risk of not flourishing. She teaches classes such as Affective Computing and Ethics, and AI for Good Mental Health. Picard’s inventions have led to AI-based advances in psychiatry and neurology, including the first smart watch (commercialized by Empatica, sold as “Embrace”) cleared by FDA for monitoring and alerting to seizures, and wearable devices used by thousands of researchers globally for collecting medical data used in clinical trials and patient-focused research. Picard has co-founded two successful businesses Affectiva and Empatica. Empatica recently created a new AI wearable, in use in studies by the US Health and Human Services, for warning of a likely viral respiratory infection She has a TEDx talk viewed by nearly two million people, and has received a variety of recognitions including one of the highest honors for an engineer, election to the National Academy.

Rosalyn Picard
Faculty Director,

Professor of Media Arts and Sciences
Co-Director, Advancing Wellbeing Initiative
Faculty Chair, MIT Mind+Hand+Heart

Prof. Rosalind Picard, Sc.D., is an MIT professor, inventor, author, and entrepreneur. Her team’s inventions have been twice named to "top ten" lists, including the New York Times Magazine's Best Ideas of 2006 for their Social Cue Reader, used in autism, and 2011's Popular Science Top Ten Inventions for a Mirror that Monitors Vital Signs. Her book Affective Computing helped launch the field by that name, giving computers (including software agents, robots, and interactive games) the skills of emotional intelligence. She is one of the top two most-cited researchers in Digital Health and directs research at the MIT Media Lab on Affective Computing, especially focused on creating solutions to help people who are not flourishing or at risk of not flourishing. She teaches classes such as Affective Computing and Ethics, and AI for Good Mental Health. Picard’s inventions have led to AI-based advances in psychiatry and neurology, including the first smart watch (commercialized by Empatica, sold as “Embrace”) cleared by FDA for monitoring and alerting to seizures, and wearable devices used by thousands of researchers globally for collecting medical data used in clinical trials and patient-focused research. Picard has co-founded two successful businesses Affectiva and Empatica. Empatica recently created a new AI wearable, in use in studies by the US Health and Human Services, for warning of a likely viral respiratory infection. She has a TEDx talk viewed by nearly two million people, and has received a variety of recognitions including one of the highest honors for an engineer, election to the National Academy.

Guest speakers

Throughout the course, you will also learn from leading academic and industry experts from startups, venture capital, healthcare systems, government, pharma, med tech and high impact members of the healthcare ecosystem.

How you will learn

AI Leadership from MIT is an online course built specifically for busy executives. The course design incorporates cognitive and neuroscience research to help busy professionals learn faster and more efficiently through the use of AI to enhance the collaborative learning experience and build rapport among course participants.

Each week you will engage in a mixture of:

  • Digital videos or audio content, augmented by material created exclusively for the AI Leadership course from MIT
  • Quizzes and exercises designed specifically to help you understand and retain new information
  • Dialogue with expert instructors and your peers via discussion forums and small group sessions
  • Simulations and other carefully crafted interactions to provide an engaging learning experience
  • Real-life examples that place information in context to help you understand how the concepts delivered in the course material can be applied to your work environment
  • AI coaching to improve your and your team’s collaboration

Start date 6 October 2021

Enrollment Starts NOW

Price $3,200

Our high impact programs deliver results:

Higher

learner engagement

Improved

industry recognition

Expanded

professional networking opportunities

Increased

confidence in career exploration

Enhanced

employability and job security

Advanced

learning opportunities with discounts on future online courses

Success you can count on

AI-enabled

eLearning technology for efficient + effective collaborative learning

30x

improvement on completion rates compared to other online courses

Immediate

applicability to your career

What you will gain

Maximize your earning and career potential by developing the strategic insight, technical acumen and actionable knowledge to succeed in a rapidly changing world.

Proof of knowledge though the prestigious Certificate of Completion issued by MIT School of Architecture + Planning and MIT Sloan

 

A powerful professional network from building connections with a global cohort of leaders, influencers and course participants

 

Coveted industry knowledge from market-driven curriculum designed and delivered to the standard of an elite academic institution

 

Acquisition and retention of new skills supported by an AI-driven learning platform, individual and team-based programming, and individual success coaching

 

A career-accelerating toolkit to accelerate as a future-forward leader comprised of frameworks, strategies and methodologies

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Collaborative AI-enhanced learning

We teach executives as they work - in cross functional teams. Learners participate in interactive simulations and team projects which reinforce applied learning and enhance collaboration and complex problem solving skills. If you are looking for an individually-paced course, this course is not for you.

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