Archives de catégorie : machine learning

Captain Marvel story as a metaphor for cache peering

By Julie Debaveye Following capture by skrull Rogue, Captain Marvel has lost access to the emotional bonds linked to her memories due to the inability of her peers to restaure a back up. CAPTAIN MARVEL – Escaping Skrulls from Federico … Continuer la lecture

Publié dans AI, blended learning, cultural trafficking, cyberterrorisme, data access, data security, Digital culture, E-privacy, Game changing, Google, infosharing, intelligence artificielle, machine learning, manipulation, open society, privacy, protection des données | Marqué avec , | Commentaires fermés sur Captain Marvel story as a metaphor for cache peering

The US government wants to use social media platforms for the surveillance of non US citizens

  Why you should stop using social media : The US government’ plans to use Facebook, Twitter and Google for the surveillance and political targeting of non US citizens Following my precedent post about social media that was questioning a … Continuer la lecture

Publié dans algorithm bias, bias, Digital culture, Exploitation, Google, machine learning, Palantir, privacy, protection des données, social media, surveillance, Twitter, war | Commentaires fermés sur The US government wants to use social media platforms for the surveillance of non US citizens

Escaping the internet in hard times

  With the increase of automated decision-making and technocratic procedures, the WWW – or KKK? – has become a place of nightmare and madness for the most vulnerable and underrepresented communities due to the concentration of power into the hands … Continuer la lecture

Publié dans AI, bias, cultural trafficking, data security, dataethics, dataveillance, dissent repression, escapism, French resistance, machine learning, Net neutrality, Power, tech fascism | Commentaires fermés sur Escaping the internet in hard times