A picture may be worth a thousand words. But what about a picture generated entirely by a machine?

That is the question scholars, advocates, and internet users have been considering lately, as art generated by artificial intelligence (AI) has exploded in popularity. Some commentators have asked who regulates this digitally created art and whether the courts can prevent theft of creative ideas and techniques in the process of its generation.

But the reality is that little regulation protects the copyrighted works used to train these AI-based technologies, and privacy protections for images used in the creation of AI-based art are scant. Advocates have called for regulatory solutions rooted in copyright and privacy law.

Toward the end of last year, popular use of the Lensa AI app, which generates stylized portraits based on users’ uploaded selfies, spurred the latest round of controversy over the ethics of AI-generated art. Debate over AI art had been raging since earlier last year, when other popular AI models such as DALL-E 2 and Stable Diffusion rapidly gained popularity.

Some commentators have noted that these programs have made art more accessible. Stable Diffusion generates images for free based on strings of text entered by users, and Lensa sells its portraits for as little as $3.99. Queer users of Lensa have shared that the avatars created by the app, which allows users to specify their gender, have made them feel joyful and aligned with their true gender identity.

But many others have voiced concerns that stem from the mechanisms that such algorithms use to generate new images. Their creators collect and use captioned images to train the AI algorithm on the relationships between textual and visual representations. For example, Stable Diffusion trained its algorithm on data sets collected by the German nonprofit LAION, which has collected billions of captioned images from art shopping sites and websites such as Pinterest.

Veille-cyber

Share
Published by
Veille-cyber

Recent Posts

L’IA : opportunité ou menace ? Les DSI de la finance s’interrogent

L'IA : opportunité ou menace ? Les DSI de la finance s'interrogent Alors que l'intelligence…

1 mois ago

Sécurité des identités : un pilier essentiel pour la conformité au règlement DORA dans le secteur financier

Sécurité des identités : un pilier essentiel pour la conformité au règlement DORA dans le…

1 mois ago

Règlement DORA : implications contractuelles pour les entités financières et les prestataires informatiques

La transformation numérique du secteur financier n'a pas que du bon : elle augmente aussi…

1 mois ago

Telegram menace de quitter la France : le chiffrement de bout en bout en ligne de mire

Telegram envisage de quitter la France : le chiffrement de bout en bout au cœur…

1 mois ago

Quand l’IA devient l’alliée des hackers : le phishing entre dans une nouvelle ère

L'intelligence artificielle (IA) révolutionne le paysage de la cybersécurité, mais pas toujours dans le bon…

1 mois ago

LES DIFFÉRENCES ENTRE ISO 27001 ET TISAX®

TISAX® et ISO 27001 sont toutes deux des normes dédiées à la sécurité de l’information. Bien qu’elles aient…

2 mois ago

This website uses cookies.