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Objective :
Empower leaders to drive responsible innovation within their organizations by understanding AI risks, navigating global regulations, and building future-ready strategies in a rapidly evolving AI landscape.
Target :
(Senior) Executives & Leaders, (Senior) Project Managers, Program Leads, Mid-Level Managers
Outcome :
The program strengthens your leadership capacity to navigate global AI trends, and regulations (e.g. EU AI Act), align ethical principles with business strategy, operationalize responsible innovation, and lead with foresight in an era of exponential technological change.
Key Competencies :
Responsible & Ethical AI
Fairness & Transparency
EU AI ACT, Regulations
Future Ready AI Leadership
Upcoming :
Modality : 2 Days, Face to Face
Benefits of the Program :
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Gain a strategic edge by harnessing global AI trends & frameworks like the EU AI Act to shape future-ready compliant strategies and reduce risks
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Build customer trust through embedding responsible AI design: Embed privacy, fairness, and transparency while building and deploying AI technologies
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Put responsibility at the heart of innovation by implementing business measures across strategic, tactical, and operational areas
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Lead in a tech-driven future by anticipating disruption from futuristic technologies like AGI, GNR (Genetics, Nanotechnology, and Robotics)
ABOUT THE PROGRAM
Program Details
Learning Modules
The program consists of four 3.5-hr modules. The modules include:
1
WHY Responsible AI Matters? - Global Trends, Regulations (incl EU AI Act), and Benefits:
Understand why Responsible AI is a leadership imperative—unpacking global trends, the EU AI Act, and how ethical AI drives trust, innovation, and long-term success.
2
WHAT it means to Build & Deploy Responsible AI? - Privacy, Fairness, Transparency:
Explore what it takes to build and deploy Responsible AI—anchored in privacy, fairness, and transparency—to lead with integrity and shape trustworthy innovation.
3
HOW to Implement Responsible AI Business Strategies? - Strategic, Tactical, and Operational: Uncover how to implement Responsible AI through strategic, tactical, and operational approaches—aligning ethical principles with business performance and innovation.
4
WHERE the world is Going with AGI, Genetics, Nanotechnology, and Robotics? - Futuristic:
Gain foresight into where the world is heading with AGI, genetics, nanotechnology, and robotics—and what it means for responsible leadership in a rapidly evolving future.
Certificate
"Responsible AI Leadership Certificate," by MQ Learning, an EduQua certified educational institute under the accreditation scheme for continuing education in Switzerland.
Faculty - Deepak Bansal
Deepak aims to bring humanistic elements to our working life. He stands at the intersection of Business (MBA HSG Switzerland), Technology (MTech India), and Humanities (MA Philosophy California). With 15+ years in the corporate world, he has held Executive positions (COO, Director) in Consulting and Multinationals. He grew up in Strategic Consulting roles (from Consultant to Associate Partner) and has also led Learning & Development for a Strategic Consulting practice.
Enquire at - info@mq-learning.com
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