Finally someone that speaks about the danger from a more concrete angle.

Cassie does a wonderful job in telling the story around data and AI, if you like what you hear then take a look at this collection of links. I am sure that you will find something here that fits your palate.

For total beginners:

• bit.ly/quaesita_hist
• bit.ly/quaesita_simplest
• bit.ly/quaesita_history
• bit.ly/quaesita_datasci
• bit.ly/quaesita_di

For those who care about AI ethics:

• bit.ly/quaesita_ethics
• bit.ly/quaesita_aibias
• bit.ly/quaesita_donttrust
• bit.ly/quaesita_dmguide
• bit.ly/quaesita_genie

For leaders:

• bit.ly/quaesita_fail
• bit.ly/quaesita_first
• bit.ly/quaesita_roles
• bit.ly/quaesita_dmguide
• bit.ly/quaesita_inspired
• bit.ly/quaesita_dsleaders
• bit.ly/quaesita_hero
• bit.ly/quaesita_genie

For artists:

• bit.ly/quaesita_drugs

For the tech-curious:

• bit.ly/quaesita_emperor
• bit.ly/quaesita_slkid
• bit.ly/quaesita_unsupervised
• bit.ly/quaesita_donttrust
• bit.ly/quaesita_statistics
• bit.ly/quaesita_aibias
• bit.ly/quaesita_tf

For data science enthusiasts:

• bit.ly/quaesita_hero
• bit.ly/quaesita_drugs
• bit.ly/quaesita_xai
• bit.ly/quaesita_aibias
• bit.ly/quaesita_roles
• bit.ly/quaesita_tf
• bit.ly/quaesita_tf2
• bit.ly/quaesita_kubeflow
• bit.ly/quaesita_ds5
• bit.ly/quaesita_sydd
• bit.ly/quaesita_inkblot
• bit.ly/quaesita_hallows

Translations to other languages:

• bit.ly/quaesita_babel

For people who like video courses:

• bit.ly/statthinking

For people who like podcasts and audio:

• bit.ly/quaesita_dipod