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SUMMARY:Learning Responsible Technology Governance: Insights from DIITA Principles
DESCRIPTION:As emerging technologies such as artificial intelligence\, autonomous systems\, and large-scale digital platforms become increasingly integrated into society\, the need for responsible technology governance has never been greater. This educational session introduces participants to the DIITA Principles (IEEE Standards Association Industry Connections Program)\, a human- and planet-centered approach to guiding the design\, deployment\, and oversight of technology in an era of rapid innovation.\nThrough an accessible exploration of governance\, ethics\, sustainability\, transparency\, and accountability\, attendees will examine how technological decisions can create lasting impacts on individuals\, communities\, institutions\, and the environment. The session highlights the importance of aligning innovation with broader societal goals\, including long-term human well-being\, environmental stewardship\, and sustainable development.\nDrawing on real-world examples from AI\, digital transformation\, and emerging technologies\, participants will gain insights into the DIITA Principles and their role in promoting responsible technology governance. The discussion will examine how these principles can help align innovation with human values\, environmental sustainability\, and long-term societal resilience. Participants will also explore how the DIITA Principles can provide a common framework for collaboration among technologists\, policymakers\, researchers\, educators\, and industry leaders working toward human and planetary flourishing.\nDesigned for engineers\, technology professionals\, students\, and decision-makers\, this educational program aims to raise awareness of the critical role governance plays in shaping technology that not only advances innovation but also contributes to a more sustainable\, equitable\, and flourishing future for both humanity and the planet.\nLink to the event to be followed later.\nSpeaker(s): Anuraga Prasanna Mandaleeka\nAgenda:\nTopics covered:\n– Introduction of speaker\n– Introduction of topic\n– Describe the core concepts and principles of DIITA\n– Analyze the societal\, ethical\, and environmental impacts of technological innovation\n– Identify opportunities to apply DIITA Principles in practice\n– Q&A\nVirtual: https://events.vtools.ieee.org/m/564197
URL:https://svec.org/event/learning-responsible-technology-governance-insights-from-diita-principles/
LOCATION:Virtual: https://events.vtools.ieee.org/m/564197
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SUMMARY:Attention-Guided Audio Compression for Multimodal LLMs
DESCRIPTION:Audio compression is often proposed to improve the efficiency of multimodal large language models\, but its impact on downstream task performance remains underexplored. This talk examines how semantic neural audio codecs behave under token reduction constraints\, using cross-modal attention as a signal to discard frames with low semantic content. On audio question-answering benchmarks\, attention-guided frame selection removes 10–30% of frames while matching baseline accuracy and answer consistency\, and identifies a critical compression threshold (keep ratio ~0.7) below which performance degrades sharply. The talk also discusses an "answer consistency paradox" where models remain highly self-consistent (>98%) even as accuracy degrades and what this decoupling of consistency from correctness means for evaluating compressed multimodal systems in low-resource deployments.\nSpeaker(s): Prerana\nVirtual: https://events.vtools.ieee.org/m/563360
URL:https://svec.org/event/attention-guided-audio-compression-for-multimodal-llms/
LOCATION:Virtual: https://events.vtools.ieee.org/m/563360
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