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Ethical and Legal Considerations

216 posts
data backup awareness needed

The Research Data Backup Rule Students Learn Too Late

Knowing how to back up research data can save students from disaster, but many learn this crucial rule too late. Are you prepared?
unethical academic ghostwriting practices

Ghostwriting in Statistics: Where Ethical Lines Get Crossed

Ineffective handling of ghostwriting in statistics jeopardizes research integrity, and understanding how to recognize responsible practices is crucial for maintaining trust.
The policy menu. There’s no single answer. There’s a menu — and choosing is a values choice in disguise.

The policy menu. There’s no single answer. There’s a menu — and choosing is a values choice in disguise.

Exploring the diverse policy options for managing AI-driven economic shifts, emphasizing values over technical fixes and highlighting ongoing uncertainties.
The prospectus. Where the AI labs’ singular governance history meets the auditor.

The prospectus. Where the AI labs’ singular governance history meets the auditor.

OpenAI’s upcoming IPO reveals complex governance and structural risks, with implications for AI lab transparency and investor valuation.
The stake. Why the answer to automation is broad-based ownership, not a bigger transfer.

The stake. Why the answer to automation is broad-based ownership, not a bigger transfer.

The response to AI-driven automation should focus on expanding ownership of capital, not increasing transfer payments, argues Thorsten Meyer.
Different Game, or Already Lost? Reading Mistral’s Sovereignty Bet

Different Game, or Already Lost? Reading Mistral’s Sovereignty Bet

Mistral emphasizes European sovereignty, open weights, and local deployment in AI. Is this a strategic advantage or a sign of lagging behind US and Chinese giants?
authorship versus acknowledgment distinctions

Authorship vs Acknowledgment: Who Should Be Named?

Navigating authorship versus acknowledgment is crucial for fairness; understanding who truly deserves credit ensures integrity and avoids disputes.
data privacy distinctions explained

Anonymized vs De-Identified Data: Not the Same Thing

Understanding the key differences between anonymized and de-identified data is crucial for privacy, but there’s more to uncover about their implications.
The referral. How AI search severs the content-for-traffic contract that funded the open web.

The referral. How AI search severs the content-for-traffic contract that funded the open web.

AI search now answers queries directly, ending the traditional referral traffic for publishers, threatening their revenue model.