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Artificial Intelligence / Machine Learning

The feats achieved through AI and machine learning are astonishing and can feel like modern wizardry. But without clear ethical reasoning and principled leadership, this utopian promise could tumble all too quickly into a dystopian nightmare.

Data Contracts: Data Quality for AI

The following insights are derived from a recent Insights from the Field event featuring Chad Sanderson, covering the topic of Data Contracts for achieving high-quality data for Artificial Intelligence (AI). Overview Chad began this session by demystifying some hyperbolic claims in the world of Artificial Intelligence (AI), including the idea that AI models could replace […]

Scaling Generative AI in the Enterprise – A Fireside Conversation with Bratin Saha

Since the launch of ChatGPT, GenAI has taken center stage, prompting business leaders to explore its potential for creating value. In a recent stimulating discussion featuring Bratin Saha, Iavor Bojinov, and Edward McFowland III, the conversation delved deep into the radical potential of GenAI and its seismic impact on businesses.

Title with headshot of Karim Lakhani.

HBR: AI Won’t Replace Humans – But Humans With AI Will Replace Humans Without AI

“Customers will expect AI-enhanced experiences with companies,” says Karim Lakhani, co-chair of the Digital Data Design Institute at Harvard and professor at Harvard Business School. “Business leaders must experiment, create sandboxes, run internal bootcamps, and develop AI use cases not just for technology workers, but for all employees. Change and change management are skills that […]

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8 Questions About Using AI Responsibly, Answered

How to avoid pitfalls around data privacy, bias, misinformation, generative AI, and more. While the question of how organizations can (and should) use AI isn’t a new one, the stakes and urgency of finding answers have skyrocketed with the release of ChatGPT, Midjourney, and other generative AI tools. Everywhere, people are wondering: How can we use AI […]

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10x’ing DEI: a focus on product and communities

Drawing from her wide experiences across the UK Parliament, British media, YouTube, Google, and Snap Inc., Oona King shares how we can leverage tech’s problem-solving mindset to drive DEI progress, her vision for open-sourcing DEI, and the next big leap for DEI — more deeply understanding how product plays into the space.

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Laura N Montoya on the global cultural lens of AI

In this episode, we speak with Laura N Montoya from Accel.AI about the inherent correlation between underrepresentation and bias, the need to support communities building tech systems, plus advice for young people looking to get into the tech space.

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Elizabeth M. Adams on civic tech as advocacy work

In this episode, we are speaking with Elizabeth M. Adams from Stanford University’s Digital Civil Society Lab about the roles and responsibility of government in tech, the ethical implications of technology, and the long game of advocacy work.

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