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From Autonomy to Accountability: The Case for Augmented Intelligence

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Manage episode 522463889 series 3527661
Kandungan disediakan oleh HCL Software. Semua kandungan podcast termasuk episod, grafik dan perihalan podcast dimuat naik dan disediakan terus oleh HCL Software atau rakan kongsi platform podcast mereka. Jika anda percaya seseorang menggunakan karya berhak cipta anda tanpa kebenaran anda, anda boleh mengikuti proses yang digariskan di sini https://ms.player.fm/legal.

In this solo episode of Ideaverse, host Mark Durham examines a cultural shift in AI: from celebrating full autonomy to prioritizing accountability and collaboration. He argues that the most meaningful progress happens when systems extend human judgment rather than replace it—especially in high-stakes domains like law, finance, medicine, and taxation.

Mark outlines what responsible, agentic AI must include: human oversight before execution, real controls and fail-safes, and verifiable audit trails for traceability. He also highlights ongoing efforts across the field—from OpenAI’s alignment work to Anthropic’s constitutional AI and DeepMind’s safety research—and explains why orchestration platforms will be essential to govern multi-step, API-calling agents. The goal isn’t agents that act alone, but agents that act accountably.

  continue reading

30 episod

Artwork
iconKongsi
 
Manage episode 522463889 series 3527661
Kandungan disediakan oleh HCL Software. Semua kandungan podcast termasuk episod, grafik dan perihalan podcast dimuat naik dan disediakan terus oleh HCL Software atau rakan kongsi platform podcast mereka. Jika anda percaya seseorang menggunakan karya berhak cipta anda tanpa kebenaran anda, anda boleh mengikuti proses yang digariskan di sini https://ms.player.fm/legal.

In this solo episode of Ideaverse, host Mark Durham examines a cultural shift in AI: from celebrating full autonomy to prioritizing accountability and collaboration. He argues that the most meaningful progress happens when systems extend human judgment rather than replace it—especially in high-stakes domains like law, finance, medicine, and taxation.

Mark outlines what responsible, agentic AI must include: human oversight before execution, real controls and fail-safes, and verifiable audit trails for traceability. He also highlights ongoing efforts across the field—from OpenAI’s alignment work to Anthropic’s constitutional AI and DeepMind’s safety research—and explains why orchestration platforms will be essential to govern multi-step, API-calling agents. The goal isn’t agents that act alone, but agents that act accountably.

  continue reading

30 episod

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