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Howard Pyle
Founder of Experience Futures | Co-Founder Amano So | Product & Design leader | Helping organizations align social impact goals with responsible AI & technology
Howard Pyle is an experienced product and design executive with over two decades of professional experience.1 He is the founder of Experience Futures and a digital + design leader based in New York, NY.3
Professional Background
- Co-Founder at Amano So1
- Specializes in digital strategy, user experience, and design leadership5
- Top 5 strengths according to Strengths Finder: Strategic, Self-Assurance, Adaptability, Ideation, and Connectedness4
Professional Interests
Pyle is particularly focused on:
- Digital experiences and user experience design2
- AI and automation's potential for creating inclusive digital experiences2
- Technology ethics and digital inclusion6
He is also an art photographer and actively shares insights about technology, design, and professional development on professional networking platforms like LinkedIn and Twitter.3
Highlights
A future without apps is coming. We’ve long thought that this is the progression of automation and AI in the experience layer - we wrote about in the white paper we published in 2021. Having AI on devices in closed ecosystems can and will take over the user interface to render it to the individual.
Here are three things we’re seeing that will accelerate this:
- Design systems that are built with the idea of being reemdered around the individual experience, not just used by designers to create one off UIs. Material You by google did some pioneering work on this.
- More advanced indenity management - knowing who a user is and what they need while protecting their privacy.
- Building and owning profiles about what works for each user to make UI predictions.
So the question is who owns that post app experience? My prediction is that it’ll be the browser war times 10.
The upside is that there’s an opportunity to address systemic aceesabiluty and digital inclusion issues. But it’s a long road.
https://lnkd.in/gdYCRfcB
#aiux #ai #designsystems
I led a roundtable today at the Reuters CX Conference about the intersection of AI, ESG/Ethics, and CX. While I’d love to share a glossy LinkedIn recap, the candid truth is that most participants couldn't say they had the stakeholder connections, tools, or guidance needed to align AI use with ethical benchmarks and inclusivity within their organizations.
In the conversation, two companies stood out that have clear approaches for responsible AI — one was in a regulated industry, which gave them a head start, and the other had values deeply woven into their business model. Others largely couldn't answer who to partner with internally and didn't have a clear set of values, ethics, or guidelines to follow with AI.
At the risk of not getting invited back (!), here are some raw, unvarnished takeaways from our session:
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AI and CX can't just coexist; they must be interwoven with organizational ethics and values linked to the broader goals of ESG, sustainability, and DEI.
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A disconnect exists between many CX leaders and their company's ethics and values. Bridging this gap is non-negotiable as we start using AI to drive customer interactions.
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Pinning down ethics and values, then baking them into the AI and experiencing transformation strategy, is easier said than done—especially since it's not clear who to partner with internally.
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Scrutinizing AI for biases and ethical alignment is tough yet imperative. Human oversight remains a key player in any process that has an impact on basic human rights or essential services. But human oversight is one part - the other is ensuring that values and ethics are clear for all teams, at all levels.
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Trust in AI is a currency earned through data quality and transparency. Models must be comprehensible and open for review.
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The stakes of AI deployment are industry and context-specific. Inaccuracy in entertainment is a hiccup; when AI inaccuracies impact a person in finance or health, it’s got to be treated with a massive amount of care.
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Moving the needle on responsible AI in CX means turning data points into narratives that resonate on a human level. Then, it's operationalizing it. It's creating tangible guidelines and actions and putting them into performance plans and compensation models.
It's sobering but a great conversation - we have to have frank, real conversations about our values when using AI. At all levels. Not just the ESG, CSR or policy folks. The people making, using, and deploying the tools in their jobs are the front lines for responsible AI.
#CX #AI #ESG #ResponsibleAI #ReutersCX #CSX23
