How Accountability Practices Are Pursued by AI Engineers in the Federal Government
By John P. Desmond, AI Trends Editor Two experiences of how AI developers within the federal government are pursuing AI accountability practices were
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Annapoorna Infotech
Fueling Minds with AI Insights
Author: Manoj Balakrishnan
Digital Natives Seen Having Advantages as Part of Government AI Engineering Teams
By John P. Desmond, AI Trends Editor AI is more accessible to young people in the workforce who grew up
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Getting Government AI Engineers to Tune into AI Ethics Seen as Challenge
By John P. Desmond, AI Trends Editor Engineers tend to see things in unambiguous terms, which some may call Black
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Novelty In The Game Of Go Provides Bright Insights For AI And Autonomous Vehicles
By Lance Eliot, the AI Trends Insider We already expect that humans to exhibit flashes of brilliance. It might not happen all
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Predictive Maintenance Proving Out as Successful AI Use Case
By John P. Desmond, AI Trends Editor More companies are successfully exploiting predictive maintenance systems that combine AI and IoT
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Promise and Perils of Using AI for Hiring: Guard Against Data Bias
By AI Trends Staff While AI in hiring is now widely used for writing job descriptions, screening candidates, and automating interviews,
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Advance Trustworthy AI and ML, and Identify Best Practices for Scaling AI
By John P. Desmond, AI Trends Editor Advancing trustworthy AI and machine learning to mitigate agency risk is a priority
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Best Practices for Building the AI Development Platform in Government
By John P. Desmond, AI Trends Editor The AI stack defined by Carnegie Mellon University is fundamental to the approach
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A New Google DeepMind Research Reveals a New Kind of Vulnerability that Could Leak User Prompts in MoE Model
The routing mechanism of MoE models evokes a great privacy challenge. Optimize LLM large language model performance by selectively
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LLM-KT: A Flexible Framework for Enhancing Collaborative Filtering Models with Embedded LLM-Generated Features
Collaborative Filtering (CF) is widely used in recommender systems to match user preferences with items but often struggles with
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