Provided by
The risk of bias in artificial intelligence (AI) has been the source of much concern and debate. Numerous high-profile examples demonstrate the reality that AI is not a default “neutral” technology and can come to reflect or exacerbate bias encoded in human data. These risks undermine the underlying trust in AI and affect your organisation’s ability to deliver successful AI projects, unhindered by potential ethical and reputational consequences.
Are you ready to deliver fair, unbiased, and trustworthy AI?
Download this guide to find out:
- How to build an end-to-end process of identifying, investigating, and mitigating bias in AI
- How to choose the appropriate fairness and bias metrics to prioritise for your machine learning models
- How to successfully navigate the bias versus accuracy trade-off for final model selection and much more
-
Opportunità dei servizi: perché la partnership con TD SYNNEX ti preparerà per un successo sostenibile a lungo termineCon la costante crescita del mercato dei servizi IT, i rivenditori si trovano di fronte a un'opportunità unica di evolversi oltre le tradizionali vendite di hardware e software…
-
De mogelijkheden van services Waarom een partnerschap met TD SYNNEX je voorbereidt op duurzaam succes
Naarmate de markt voor IT-diensten groeit, krijgen resellers een ongekende kans om verder te evolueren dan de traditionele verkoop van hardware en software …
