315: What AI Is Asking of Coaching with Rebecca Rutschmann

In this final episode of our series: AI, Ethics and Trust in Coaching, we step back from individual perspectives and ask what all these conversations might be telling us about coaching itself. Rebecca Rutschmann, co-founder of Viva la Coaching, researcher, educator and long-standing explorer of the space between coaching and technology, joins host, Smaranda Dochia, to consider whether AI is forcing the profession to become clearer about what coaching is really here to do.   Together they explore what should remain distinctly human, why people choose to work with another human being in coaching, and what we want technology to support rather than replace. Rather than framing AI as something to embrace or resist, the conversation is about engaging with curiosity, maturity and agency, and making deliberate choices about how we use it.   It's a conversation about finding our core, and about what AI may be asking the coaching profession to become next.   You will learn:   ·       New capabilities are pushing us to revisit what coaching is for, who it can reach and why people value working with another human. ·       It's not a choice between embracing or resisting AI but staying informed, curious and deliberate about how you use it ·       Build strong roots in who you are and what you value, with enough curiosity to explore what is becoming possible.     "You need your North Star; you need your core. As long as you have roots, you can also fly. That's something my parents taught me very early. You need roots to hold you tight, and you need wings to fly."   Don't forget to subscribe, rate, and leave us a review! Your feedback helps us bring you more valuable content.   For the episode resources and guest bio, please visit:  https://www.associationforcoaching.com/page/dl-hub_podcast-channel-AI-ethics-trust-in-coaching-what-AI-asks-of-coaching

AI coaching is moving fast, but the evidence hasn't quite caught up with the excitement. In episode 9 of our AI, Ethics and Trust in Coaching series, host Smaranda Dochia sits down with Professor Nicky Terblanche, Professor in Leadership Coaching at Stellenbosch University Business School in Cape Town, South Africa, where he leads the master's and PhD programmes in leadership coaching. Nicky began his career in electronic and software engineering before moving into coaching and applied psychology and has been researching AI coaching since well before generative AI arrived on the scene.   The conversation centres on a key distinction: 'AI in coaching' versus 'AI coaching' itself, and why the field still needs clearer definitions and professional boundaries. Nicky brings the research into focus, sharing findings that AI coaching can be effective for goal attainment, but has yet to show the same results when it comes to areas like stress, wellbeing, and resilience: the deeper developmental terrain where skilled human coaches still lead. They also explore whether AI should even aspire to imitate a human coach, why coaching methodology matters when evaluating a platform, cultural bias in AI coaching tools, and how AI might ultimately raise the bar for human coaching rather than simply replace it.   Throughout, one message keeps returning: keep an open mind, but remain critical and ask for evidence. Nicky's research suggests a more nuanced picture than either the hype or the anxiety around AI coaching would have us believe - AI coaching can already support outcomes like goal attainment and offers real value through its scale, cost, and accessibility, reaching people who might otherwise have no access to coaching at all. But when it comes to deeper transformation, human coaching still holds its ground. Nicky's closing challenge lingers too: perhaps we're worrying too much about AI replacing coaches, and not enough about what it means to outsource our thinking to technology over time.   You will learn:   ·       'AI in coaching' and 'AI coaching' aren't the same thing. The field still lacks clear definitions and professional boundaries, and getting this distinction right matters for standards and accreditation. ·       AI coaching if far off from replacing human coaches but it does have value in it's scalability and reach. ·       The real risk may not be replacement - it's outsourcing thinking:  what happens to our critical thinking and capability when we lean too heavily on technology to do it for us.     "AI coaching is not competing with human coaching, but it can be incredibly scalable and helpful to millions of people who would never otherwise have any coaches."   Don't forget to subscribe, rate, and leave us a review! Your feedback helps us bring you more valuable content.   For the episode resources and guest bio, please visit:  https://www.associationforcoaching.com/page/dl-hub_podcast-channel-AI-ethics-trust-in-coaching-AI-coaching-research-service

Across workplaces, AI tools are being introduced at remarkable speed. Licenses are being purchased, productivity gains are anticipated, and employees are being encouraged to experiment. But access to AI is not the same as knowing how to work with it well. In episode 8 of our AI, Ethics and Trust in Coaching series, host Smaranda Dochia sits down with James Varnham, who brings 26 years of experience in learning, workforce development, and AI adoption, to unpack what's actually happening inside organizations as AI moves from experimentation to daily practice. They dig into the gap between leadership ambition and employee readiness, the rise of shadow AI and the data security risks it creates, and why generic, one-size-fits-all training rarely builds the kind of AI literacy organizations need.   The conversation centres on a key distinction: knowing how to use AI is not the same as knowing how to collaborate with it. True AI literacy means understanding when AI adds value, how to steer and question its output, and where human critical thinking has to stay firmly in the driver's seat. James and Smaranda also explore the growing role of coaching in this shift—not as a way to help people feel better about AI, but as a space to think clearly about what to delegate, what to protect, and how to hold onto judgment, agency, and a sense of human worth as the technology evolves around them. They also turn to the question of employee wellbeing, including how AI adoption can quietly erode confidence when people feel uncertain about what's expected of them or fear being left behind. James makes a pointed case for AI coaching tools too: their scalability makes coaching more affordable and able to reach far more people than human coaching alone ever could. But he's equally clear about their limits—organizations and individuals both need to learn where an AI coach's usefulness ends and where a human coach needs to step in. Ultimately, this episode reframes what "successful" AI adoption should even mean. Rather than measuring it by how much AI gets used, James and Smaranda suggest the better measure is what happens to human capability because of that use—whether people are growing sharper and more confident, or quietly ceding judgment to the machine.   You will learn:   ·       What real AI literacy means – understanding that using AI isn't the same as collaborating with it. ·       Adoption of AI in organizations is outpacing readiness and wellbeing needs attention too. James shares tips on how to bring AI into a workplace with a reminder that AI will involve continuous learning. ·       AI coaches make support more affordable and accessible at scale but knowing when to hand off from an AI coach to a human one is essential.     "We're still very, very immature when it comes down to, as I said, organizational adoption of AI."   Don't forget to subscribe, rate, and leave us a review! Your feedback helps us bring you more valuable content.   For the episode resources and guest bio, please visit:  https://www.associationforcoaching.com/page/dl-hub_podcast-channel-AI-ethics-trust-in-coaching-organizations-workplace-AI-literacy

AI has brought new urgency to questions the coaching profession has wrestled with for years: what is coaching, what value does it create, and what kind of practitioner should coach education produce? In episode 7 of our series, AI, Ethics and Trust in Coaching, host Smaranda Dochia talks with Jonathan Reitz, a coach and coach educator with nearly three decades of experience, about his unexpected path from broadcasting into coaching and what that journey taught him about the profession's evolving identity.   Jonathan draws a sharp distinction between coach training, which transfers skills, and coach education, which reshapes the practitioner's identity, ethics, and self-awareness. He argues that meaningful development doesn't happen in the classroom alone: it comes from a blend of focused instruction, field experience, deliberate practice, community reflection, and a wider circle of trusted support. As AI tools increasingly position themselves as "coaches," he makes the case that providers and professional bodies carry an institutional responsibility to prepare adaptable, reflective practitioners, not just add an AI module to existing curricula.   The discussion also digs into the practical and ethical terrain coaches now have to navigate: GDPR-level data handling, client-controlled recordings, one-year deletion policies, and the difficulty buyers face in measuring coaching ROI. Jonathan's view is that coaches should aim for AI augmentation or redefinition of their practice - never inversion, where the coach hands off genuine cognitive engagement to a tool. Even coaches who choose not to use AI themselves, he notes, need enough fluency to understand the language and developmental world their clients now inhabit.   You will learn:   ·       AI and coaching bots have forced a reckoning on defining coaching ·       Coach education beats training, and it belongs in the field with practice and community ·       Ethics and AI fluency are the differentiators. There are foundations of responsible practice that must be in place before AI fluency can start     "I think the advent of some of the AI tools that are in the world right now have forced us to say, hey, with these AI tools now calling themselves coach, what is it that they're doing that I also do? And what is it that I do that they are not doing?"   Don't forget to subscribe, rate, and leave us a review! Your feedback helps us bring you more valuable content.   For the episode resources and guest bio, please visit:  https://www.associationforcoaching.com/page/dl-hub_podcast-channel-AI-ethics-trust-in-coaching-coach-education-definition-ethics  

In the sixth episode of our series, AI, Ethics and Trust in Coaching, host Smaranda Dochia is joined by Iliana Grosse-Buening, author, speaker, adjunct professor and co-founder of Deeply Human Innovation, who brings a global perspective on the intersection of technology and wellbeing.  She widens the conversation on AI from harm prevention and compliance to a more demanding question: what does good look like? And what should good technology make possible for people's lives, relationships and communities?   Through the lens of deeply human innovation, digital wellbeing and human flourishing, Iliana asks whether technology helps people become more capable, connected, curious and able to shape their own lives. She examines the taken-for-grantedness of technology, the slow effects of engagement and attachment economies, and the risks of outsourcing thought, relationship and agency, alongside how organizations can avoid using AI wellbeing tools to individualise problems that are actually created by culture, workload, or power.   The conversation also foregrounds participation, community and the voices of young people in shaping technological futures. Regulation and responsible design matter, but people are not powerless while waiting for systems to change - coaches, leaders and organizations can still make choices that nourish relationships, expand agency and keep human and planetary flourishing at the centre of innovation. Iliana closes with an invitation to the upcoming Deeply Human Summit in Paris, which starts with the Global Youth Imagination Lab. Her passion for humanity creates an episode with a powerful call for action, based in hope and a belief in human potential.   You will learn:   ·       How can we create technology that truly help people flourish: become more capable, connected, and able to shape their own lives ·       Organizations must not individualise systemic problems through AI wellbeing tools that may mask issues rooted in culture, workload, or power ·       People don't need to wait for regulation; they can make choices today that protect human connection and flourishing     "AI is making us have to confront certain things, which, if we courageously address them, I think we would actually end up in a world that is more flourishing."   Don't forget to subscribe, rate, and leave us a review! Your feedback helps us bring you more valuable content.   For the episode resources and guest bio, please visit:  https://www.associationforcoaching.com/page/dl-hub_podcast-channel-AI-ethics-trust-in-coaching-digital-wellbeing-human-flourishing

In episode 5 of our AI, Ethics and Trust in Coaching series, host Smaranda Dochia talks with Lewin Keller, founder of CoachBot.ai, about what happens when you try to build professional coaching into an AI system rather than just bolting a coaching persona onto a chatbot. Lewin's own path into coaching started almost by accident at Google in 2015, and it left him with a simple question: why isn't coaching more accessible to people who aren't executives with corporate budgets? That question eventually led him to build CoachBot.ai. Lewin is refreshingly honest about the early stumbles. His first users loved the attention but kept asking why they should pay for questions when a general LLM would just hand them advice for free. That feedback pushed him to think harder about what actually makes a coaching bot different: not the model underneath, but the standards, boundaries, and structure built around it, so it knows when to ask and when to guide rather than defaulting to shallow, generic output. He's also candid about the fear running through the profession right now and pushes back on it in an interesting way: the risk isn't AI itself, but the design choices humans make around it, and coaches who stay curious and involved have far more influence over that than those who simply hope it goes away. What comes through most is a sense of responsibility rather than alarm. Lewin sees it as the profession's job to help people understand the difference between directive and non-directive coaching, what AI companionship actually is, and why so many people are drawn to it in the first place. For him, coaching still has something the world clearly needs, and AI, used thoughtfully, is a way to get more of that into more people's hands. You will learn: ·       A coaching bot earns that name through the professional standards, guardrails, and structure layered on top of the language model, shaping when it asks questions versus when it offers guidance. ·       Fear should be pointed at design choices human's make, not AI itself.  ·       Educating coaches is a professional duty, not optional extra – helping coaches move from basic AI literacy to AI maturity.  "This is the first LLM that actually behaves like a coach. Like it's not going directly into giving shallow generic advice. It's actually asking questions. It's setting goals. It's keeping boundaries."   Don't forget to subscribe, rate, and leave us a review! Your feedback helps us bring you more valuable content.   For the episode resources and guest bio, please visit:  https://www.associationforcoaching.com/page/dl-hub_podcast-channel-AI-ethics-trust-in-coaching-responsible-coachbot-maturity

In episode 4 of our AI, Ethics and Trust in Coaching series, host Smaranda Dochia sits down with Dr Malak Sadek, researcher and teaching associate at the University of Cambridge's Centre for Human-Inspired AI, to explore why conversational AI affects us so differently from other technologies. Conversation is already natural to us, so we never have to learn how to "use" a chatbot the way we'd learn a new app, and that ease is exactly what blurs the line between a fluent response and genuine understanding. Malak explains how design choices in tone, voice, and responsiveness shape trust, reinforce gender and racial biases, and lead people to attribute empathy, authority, or even relationship-like qualities to systems that have no lived experience or personal stake in the outcome. The discussion also touches on how repeated interaction with these systems may quietly shape behaviour, beliefs, identity, and the choices people make over time.   The conversation then turns to the values built into these systems by default. Malak makes the case that no version of "neutral" really exists: privacy settings, curiosity, playfulness, politeness, cultural assumptions, and commercial incentives are all design decisions that shape how an AI behaves, and many carry Western-centric assumptions that go unexamined. For her, responsible AI needs more than technical safety — it needs meaningful participation, cultural representation, and transparency about the values embedded in the system, so that design strengthens human agency rather than quietly eroding it. She closes with a challenge to coaches and other professionals: rather than resisting these tools, the more useful path is to understand their limitations well enough to guide clients through them.   You will learn:   ·       Fluency isn't understanding – coaches need to help clients see this distinction ·       No system is truly neutral: Every design choice — tone, defaults, privacy settings, cultural framing — embeds values, often Western-centric ones, and coaches should be aware of whose assumptions are shaping the interaction.   ·       Rather than avoiding AI tools, coaches and professionals are better placed to guide clients by educating them on AI's limitations.       "We have a very strong tendency to give human traits and human characteristics to things that aren't human beings just because they kind of either look human or they remind us of humans somehow. and obviously with LLMs this is on steroids now because they are actually behaving on the surface like, human beings."   Don't forget to subscribe, rate, and leave us a review! Your feedback helps us bring you more valuable content.   For the episode resources and guest bio, please visit:  https://www.associationforcoaching.com/page/dl-hub_podcast-channel-AI-ethics-trust-in-coaching-conversational-AI-values-chatbots  

Most coaches using AI couldn't tell you exactly where their client data actually goes - which platform, which server, whether it's used to train a model. In the third episode of AI, Ethics and Trust in Coaching series, host Smaranda Dochia talks with lawyer and AI governance practitioner Amber Foster, and leadership coach, and technology and compliance specialist Colin Cosgrove to unpack what GDPR and the EU AI Act really mean for coaches, coaching providers, and the organisations that hire them. Rather than treating compliance as a box-ticking exercise, Amber and Colin reframe it as the foundation of client trust starting with a deceptively simple question: where is AI actually touching your coaching practice, and what happens to the data once it gets there?      Beyond the legal frameworks, Amber and Colin keep coming back to principles — both the EU AI Act's own principle-based approach, and the personal ethics coaches bring to their work. They push coaches to go beyond "is this compliant?" and ask "does this align with my own values and how I want to show up for clients?" That said, the conversation stays firmly practical: they walk through how to map data flow, what to actually look for in an AI tool's terms and documentation, and why transparency and informed consent can't be a one-off conversation: tools and clients' wishes change, and so should the contracting around them. They also tackle the trickier territory of organisational coaching, where a use case that looks low-risk one-to-one can become high-risk the moment it sits inside an HR system with multiple stakeholders.   This episode is essential listening for any coach, L&D professional, or organisational leader using AI in their practice. Where inaction will put you at risk, this episode will provide the information you need to get started to ensure both you and your clients are protected, and ethical.   You will learn   ·       There are two sets of principles and one question: the EU AI Act is principle-based, and so is good coaching; the real test is whether your AI use lines up with both? ·       GDPR and the EU AI Act set legal minimums; genuine trust with clients requires transparency and consent that go further. ·       Context changes risk: a coaching use case that's low risk individually can become high-risk once it operates inside an organisational or HR system.   "As soon as you start to receive data about people, that's when you need to switch on and start to think about this."    Don't forget to subscribe, rate, and leave us a review! Your feedback helps us bring you more valuable content.   For the episode resources and guest bio, please visit:  https://www.associationforcoaching.com/page/dl-hub_podcast-channel-AI-ethics-trust-in-coaching-legislation-gdpr-eu-ai-act-governance

In the second episode of our AI, Ethics and Trust in Coaching series, Smaranda Dochia talks with Dr Benita Mayhead, an executive coach, coach supervisor, researcher, and author of Duty of Care in Coaching, whose empirical research moves duty of care out of the realm of abstract codes and into the lived reality of practice: how coaches actually make decisions, hold ambiguity, set boundaries, use supervision, and account for the wider system around them. Benita's research found that most coaches' understanding of duty of care doesn't come primarily from formal training. It's shaped by personal values, life experience, and professional background, and by the sense-making that happens when practice gets genuinely uncertain. Codes, law, and standards offer necessary scaffolding, but they can't make the hard call for you; when a real dilemma arises, coaches tend to reach for another person - a peer, colleague, or supervisor - rather than a rulebook.   The conversation traces how duty of care plays out across the whole coaching relationship: in contracting and re-contracting, boundary-setting, endings, reflective practice, and supervision, as well as in the ripple effect coaching has on people the coach may never meet. Ethical maturity, Benita argues, is an ongoing capacity to sit with silence, ambiguity, notice when values collide, question your own motives, say no when needed, and actively seek challenge rather than certainty.   They also discuss AI's growing presence in coaching, where Benita neither dismisses AI nor treats its adoption as inevitable. Clients may arrive with AI-generated interpretations already in hand, use general-purpose tools between sessions, or take part in AI-enabled organizational programmes, while coaches and supervisors themselves increasingly use AI for preparation, reflection, or documentation. Benita asks the profession to engage with this critically and collectively, in service of the client rather than in step with the technology by default. Her question:  in whose service is this? - becomes the ethical test for the rest of the series, reframing the conversation from "can we use AI?" to why it's being used, who benefits, and who remains accountable. Fluency with a tool, she makes clear, does not remove the need for human judgment or responsibility.   You will learn:   ·       Duty of care is a foundational concept in coaching, but its meaning extends far beyond legal definitions. Benita's research reveals that, for most coaches, duty of care is not just about contracts or compliance—it's about lived experience, personal values, and the impact of every interaction. ·       The coach has the responsibility to be informed and develop understanding of AI, even if they don't use it in their practice, because their client may be. ·       AI shifts the central question from "can we?" to "in whose service?" Whether a client brings AI-generated insights into a session or a coach uses AI for their own preparation, the technology introduces new actors, unclear permissions, and new routes to foreseeable harm.     'If we are taking a position of no I'm not going to enter into any AI understanding and awareness. I think that we're perhaps missing something within there because our clients are. So, I think there's a responsibility - even if we're not using it in our own practice, to build our own awareness and understanding.'   Don't forget to subscribe, rate, and leave us a review! Your feedback helps us bring you more valuable content.   For the episode resources and guest bio, please visit:  https://www.associationforcoaching.com/page/dl-hub_podcast-channel-AI-ethics-trust-in-coaching-duty-of-care-supervision        

In the first episode of a new series, AI, Ethics and Trust in Coaching, host Smaranda Dochia talks with founder of The Moment Institute and creator of Narrative Coaching, David Drake, to tackle the question on every coach's mind: what is coaching actually here to do in an AI-driven world?   Rather than rehashing the tired "AI vs. Humans" debate, David offers a reframe. AI, he argues, isn't simply a new tool or competitor — it's a mirror that exposes the strengths and limitations of coaching, education, leadership and human development as they currently stand. That shift changes the whole conversation: less about whether AI will take coaches' jobs, more about whether coaches have been quietly protecting familiar methods and formats instead of asking what people actually need to grow, think critically, relate well, and navigate a more complex world.   David doesn't shy away from challenging the profession's comfort zones. He talks about coaching as a "third space" within a much wider human and systemic context, and about how the traditional one-hour session is losing its centrality as immediate, multimodal support becomes the norm. As quick answers become the norm, he points to a paradox: people have never had more information at their fingertips, yet loneliness and disconnection are on the rise. For David, the real risk isn't AI replacing coaches — it's coaches failing to evolve alongside the people they serve. His central challenge to the profession: stop building learning and development around industrial era models, and start building it around real human experience. Ultimately, this episode is a call to action. David pushes coaches to ask themselves hard questions about purpose — are their current methods genuinely serving human development, or just protecting familiar ways of working? Is the profession mature enough to use technology selectively, in service of something bigger than technique? It's a thought-provoking start to the series, setting the tone for the honest, sometimes uncomfortable conversations about ethics and trust that AI is forcing our profession to have.   You will learn ·       AI as tool, mirror and provocateur: not just something that automates tasks, but something that exposes the limitations of current coaching and learning models, and provokes new thinking about what coaches are really for ·       Why coaching may need to be reimagined as a "third space" within a wider human and systemic context ·       Why purpose must lead practice: coaches should regularly ask whether their methods truly serve human growth, or just protect familiar routines     'We need to stop being so parochial and precious about coaching. It too was a disruption.'   Don't forget to subscribe, rate, and leave us a review! Your feedback helps us bring you more valuable content.   For the episode resources and guest bio, please visit:  https://www.associationforcoaching.com/page/dl-hub_podcast-channel-AI-ethics-trust-in-coaching-purpose-led-practice-human-potential