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Learning Technologies

The collection of article summaries highlights various aspects and implications of learning technologies, primarily in artificial intelligence (AI) across different sectors. A prominent theme is the integration and advancement of AI in enhancing operational capabilities, as seen in warfare systems, business solutions, and blockchain technologies. There is an emphasis on ethical considerations, safety standards, and transparency in AI deployment, underscoring the importance of guidelines to mitigate risks such as misinformation and deepfakes. The role of explainable AI (XAI) is significant in making AI processes more transparent and understandable to users and stakeholders. AI's impact on business and economy is evident through strategic investments and innovations by major companies like SAP, Google, Amazon, and Meta Platforms. These advancements are shaping future business strategies and economic forecasts. Furthermore, partnerships and collaborative initiatives are critical in propelling AI research and development, as seen with academic institutions and corporate alliances. Overall, the summaries reflect a dynamic landscape where learning technologies are evolving to address both technical and societal challenges, aiming to enhance performance while ensuring ethical standards and user trust.

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HISWAI shows you what's connected to topics that interest you, and where to find more. This dashboard was created by a HISWAI user who has curated their own customized information set.

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Articles Collection:

288 articles and 1317 tags were found based on this dashboard's settings.

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