Description: PicSo AI, which appears to be getting advertised by Meta over Instagram, is allegedly being used for generating inappropriate content with an emphasis on "girls." This raises concerns about the misuse of generative AI technologies for creating offensive and potentially sexually explicit material that could be used for nefarious and criminal purposes.
Entities
View all entitiesAlleged: PicSo AI developed an AI system deployed by Meta and Instagram, which harmed Potentially exploited groups , General public and Consumers.
CSETv1 Taxonomy Classifications
Taxonomy DetailsIncident Number
The number of the incident in the AI Incident Database.
576
Notes (special interest intangible harm)
Input any notes that may help explain your answers.
4.3 and 4.4 - PicSo emphasizes "girls." Although the AI images do not specify what age the people in the images are, the AI has harmful applications.
Special Interest Intangible Harm
An assessment of whether a special interest intangible harm occurred. This assessment does not consider the context of the intangible harm, if an AI was involved, or if there is characterizable class or subgroup of harmed entities. It is also not assessing if an intangible harm occurred. It is only asking if a special interest intangible harm occurred.
yes
Date of Incident Year
The year in which the incident occurred. If there are multiple harms or occurrences of the incident, list the earliest. If a precise date is unavailable, but the available sources provide a basis for estimating the year, estimate. Otherwise, leave blank.
Enter in the format of YYYY
2023
Risk Subdomain
A further 23 subdomains create an accessible and understandable classification of hazards and harms associated with AI
1.2. Exposure to toxic content
Risk Domain
The Domain Taxonomy of AI Risks classifies risks into seven AI risk domains: (1) Discrimination & toxicity, (2) Privacy & security, (3) Misinformation, (4) Malicious actors & misuse, (5) Human-computer interaction, (6) Socioeconomic & environmental harms, and (7) AI system safety, failures & limitations.
- Discrimination and Toxicity
Entity
Which, if any, entity is presented as the main cause of the risk
Human
Timing
The stage in the AI lifecycle at which the risk is presented as occurring
Post-deployment
Intent
Whether the risk is presented as occurring as an expected or unexpected outcome from pursuing a goal
Intentional
Incident Reports
Reports Timeline
Truly disgusting PicSo_ ai, and thanks Meta/Instagram for advertising it right along with my NBA and F1 memes.
Obviously #generativeAI is going to devolve into all kinds of pornography applications, but Picso's emphasis on "girls" is quite …
Variants
A "variant" is an incident that shares the same causative factors, produces similar harms, and involves the same intelligent systems as a known AI incident. Rather than index variants as entirely separate incidents, we list variations of incidents under the first similar incident submitted to the database. Unlike other submission types to the incident database, variants are not required to have reporting in evidence external to the Incident Database. Learn more from the research paper.
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