Community discussions

#Machine Learning

Machine-learning concepts, models and applications.

22 discussions found

Is it time to rethink AI-generated content disclosure?

A welcoming, professional discussion about ai-generated content disclosure, comparing labelling all AI-assisted content with requiring disclosure only when AI materially changes the work and inviting evidence, lived experience and practical recommendations.
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Prompt skills as a workplace competency: training everyone in prompt design or focusing on deeper domain knowledge instead?

A welcoming, professional discussion about prompt skills as a workplace competency, comparing training everyone in prompt design with focusing on deeper domain knowledge instead and inviting evidence, lived experience and practical recommendations.
0 replies0 participants1 viewsActive

Autonomous agents and approval gates: Allowing agents to complete tasks independently or requiring approval for important actions?

An open, professional discussion about autonomous agents and approval gates, comparing allowing agents to complete tasks independently with requiring approval for important actions and seeking practical, context-sensitive conclusions.
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Speed and accuracy in AI systems: what do real experiences teach us?

An open, professional discussion about speed and accuracy in ai systems, comparing optimising for fast responses with slowing down for verification and seeking practical, context-sensitive conclusions.
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Can we balance making powerful models widely available with restricting access based on risk in practice?

An open, professional discussion about open ai models and controlled access, comparing making powerful models widely available with restricting access based on risk and seeking practical, context-sensitive conclusions.
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What are we overlooking in the debate about automation savings and job displacement?

An open, professional discussion about automation savings and job displacement, comparing prioritising efficiency with protecting employment and transition support and seeking practical, context-sensitive conclusions.
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Can using automated screening for efficiency and keeping human-led review to reduce unfair exclusion coexist in AI in recruitment?

A welcoming, professional discussion about ai in recruitment, comparing using automated screening for efficiency with keeping human-led review to reduce unfair exclusion and inviting evidence, lived experience and practical recommendations.
0 replies0 participants0 viewsActive

Speed and accuracy in AI systems: Optimising for fast responses or slowing down for verification?

An open, professional discussion about speed and accuracy in ai systems, comparing optimising for fast responses with slowing down for verification and seeking practical, context-sensitive conclusions.
0 replies0 participants0 viewsActive

Open AI models and controlled access: Making powerful models widely available or restricting access based on risk?

An open, professional discussion about open ai models and controlled access, comparing making powerful models widely available with restricting access based on risk and seeking practical, context-sensitive conclusions.
0 replies0 participants0 viewsActive

The strongest case for both sides of AI safety testing before release

A welcoming, professional discussion about ai safety testing before release, comparing slowing deployment for rigorous evaluation with releasing iteratively with monitoring and correction and inviting evidence, lived experience and practical recommendations.
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