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Leadership, People, AI, Responsibility
Leadership Development with Purpose:
People, Culture and AI

Executive Advisor / Chief of Staff /Consultant
Leadership Development | Responsible AI |
Emotional Intelligence (EQ) | Cultural Intelligence (CQ) |
Diversity Intelligence (DQ)
Who we are and What we do
At Executive Global Coaching we advise executives on leading People, Culture & AI with purpose
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We do so by advising them on strategically integrating AI, while maintaining a "Human-centred" approach, with HR and L&D departments working closely with their AI developer colleagues
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The goal is to build inclusive AI underpinned by Emotional Intelligence (EQ), Cultural Intelligence (CQ), and Diversity Intelligence (DQ). Our EQ+CQ=DQ framework serves as a foundation in understanding and recognising real life unseen characteristics and experiences that often significantly influence our identity and behaviour, yet is often missing in data sets used to train (generative) AI
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EQ, CQ, and DQ skills (important for inclusive leaders to have), help leaders to know, understand, and recognise, who is or isn't represented in AI (training) data sets and to then ask AI developers the right questions in the quest for Inclusive, Human-Centred AI
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Inclusive AI built by Inclusive Leaders is critical; the failure of which could see organisations unable to perform to their full capabilities & values
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Building AI through the lens of inclusion requires AI developers and deployers to consider all aspects of the technology's impact: the good (increases in efficiencies and clinical breakthroughs); the bad (the consumption of unprecedented amounts of compute, data, energy, and water); and, the harmful (very little consideration for the well-being of workers in the global south who review and tag data (images, text, audio) to help train machine learning models)). Other harms include: bias, misinformation, disinformation, privacy concerns, deepfakes and cyber security risks
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Once leaders have been trained on Emotional Intelligence (EQ), Cultural Intelligence (CQ) and Diversity Intelligence (DQ), Step 2 is to help them build and/or deploy 'Inclusive AI' by breaking down the Data Development and Machine Learning (ML) process into stages (see link to short video below).
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Many steps in the data and ML stages are human driven and begin before an algorithm is running.
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These are stages where bias and errors often creep in and where crucially, intervention can make a difference
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By fostering diverse perspectives and expertise in the development, training, and application of LLMs and other AI models, leaders can roll out AI tools that are ethical, fair, inclusive and aligned with the values and needs of their organisations, different stakeholders, cultural contexts and, the environment
How we do it
The EQ+CQ=DQ Framework
We are dedicated to providing specialised coaching in Inclusive Leadership & Inclusive AI using our EQ+CQ=DQ methodology.
We guide leaders in managing the complexities of diverse teams, fostering strong cross-cultural relationships, and improving organisational culture through empathy, respect, and collaboration, a vital foundation for Inclusive Leadership in the era of AI
- Our goal is to assist leaders and organisations in fostering more inclusive, diverse, and equitable AI tools by first building and enhancing Emotional Intelligence (EQ) and Cultural Intelligence (CQ), as the essential building blocks to Diversity Intelligence (DQ).
- Building and/or deploying Inclusive AI begins with leaders who lead with EQ, CQ and DQ, fundamental pillars for Inclusive AI systems and critical skills which help leaders recognise who is not represented in the room or datasets
- We work with leadership to help them understand the data development and machine learning stages; steps which are essential when it comes to identifying potential harms like discrimination and inaccuracy, and for devising effective policy solutions. It’s about looking at the whole AI process holistically and not just (downstream) once the end product has been launched
