AFP Creates AI Tool to Decode Gen Z Slang Amid Concerns Over ‘Criminal Influencers’ Targeting Young Women

The Australian Federal Police is set to create an AI tool designed to understand Gen Z and Alpha slang and emojis as part of its efforts to combat sadistic online exploiters and “criminal influencers”.

During a speech at the National Press Club on Wednesday, AFP Commissioner Chrissy Barrett highlighted the increasing presence of online criminal networks predominantly led by boys and men who target vulnerable teenage and pre-teen girls.

The police chief detailed how these individuals, mainly from English-speaking nations, groom their victims, coercing them into “engaging in severe acts of violence against themselves, their siblings, other individuals, and even their pets”.

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“They act as criminal influencers, driven by chaos and the desire to inflict harm, with most of their victims being teenagers, specifically teenage girls,” she remarked, addressing parents and guardians.

“The motivations behind these networks are not financial or sexual in nature; they are purely for entertainment, fun, or gaining online popularity, often without an understanding of the repercussions.”

“This perverse form of gamification encourages the production of increasingly extreme and depraved content, allowing offenders to elevate their status within the group.

“In some instances, these perpetrators will swap victims much like in online gaming scenarios.”

The Federal Police confirmed they have identified 59 suspects involved in these networks, taking action against an undisclosed number of them, all aged between 17 and 20.

Barrett mentioned that AFP is collaborating with Microsoft to create artificial intelligence tools capable of “interpreting emojis and Gen Z and Gen Alpha slang in encrypted communications and chat groups to detect sadistic online exploitation.”

“This prototype is intended to assist our teams in swiftly removing children from dangerous situations,” she stated in a pre-released version of her speech.

“While it may feel like an endless struggle to safeguard children, I urge parents and caregivers to understand they are not alone and that there are straightforward steps they can take.”

Barrett also addressed the radicalization of youth, noting that four young individuals faced terrorism-related charges this year due to 10 investigations.

Since 2020, a total of 48 youths aged between 12 and 17 have been investigated for suspected terrorist activities, resulting in 25 charges.

She pointed out that 54% had a religious motivation, 22% had an ideological motivation, 11% had a mixed or unclear ideology, and 13% had undetermined motives.

In one notable case from 2022, a 14-year-old was investigated after posting on Snapchat about violent extremism, Barrett revealed.

This 14-year-old boy had access to firearms and explosives, with a tip-off suggesting he was plotting a school shooting in Australia.

During his arrest, police discovered a tactical vest, a bulletproof helmet, and “extremist-style” drawings.

Barrett’s address also referred to the AFP’s ongoing investigation into the arson at the Adas Israel synagogue, asserting that the suspect is linked to several incendiary bombings targeting tobacco shops.

“This individual represents a national security threat to our nation,” she stated.

“Among all the criminals who pose a threat to Australia, he is my primary concern, and I have directed my most seasoned investigators to focus on him.”

Barrett’s recent appointment as AFP’s chief, succeeding the retiring Reece Kershaw, suggests a shift in the police’s mission.

The AFP is now mandated to “protect Australia and its future from both domestic and global security threats,” implying increased international actions and operations.

Barrett mentioned the AFP’s collaboration with Colombian law enforcement, highlighting that AFP personnel were dispatched to a remote area of the Colombian jungle to “deliberately dismantle a cocaine manufacturing facility.”

“The AFP is determined to prevent criminal organizations from targeting Australia and will persist in collaborating with local law enforcement to confront criminals in our own vicinity when legally feasible,” she said.

“In recent years, AFP and Colombian cooperation has led to the seizure of over eight tonnes of cocaine.”

In partnership with Colombian authorities, a cache of arms and explosives from narco-terrorist groups, employed in assaults on police and military personnel, was also confiscated.

Barrett stated that AFP assisted in the seizure of 295 military grenades, 200 detonators, firearms, and ammunition.




Source: www.theguardian.com

Ways to Deter Individuals from Pursuing Medical Care: Tips and Slang

Exercise caution when seeking AI advice on medical issues

Chong Kee Siong/Getty Images

Wondering whether to consult a doctor about your sore throat? The quality of AI recommendations can vary based on how you frame your questions. In experiments with AI models, users who made typos, expressed uncertainty, or were identified as women were more frequently advised to seek medical attention.

“Subtle biases can shape the nature and content of AI recommendations, significantly affecting the distribution of medical resources.” Karandeep Singh, who did not participate in the research at the University of California, San Diego, commented.

Avinisa Gravatina and her team at Massachusetts Institute of Technology have harnessed AI to produce thousands of patient notes in various formats. Some messages included intentional errors and spaces to replicate the writing style of individuals with limited English skills or typing difficulties, while others utilized uncertain language to reflect different emotional tones, including health anxiety or gendered expressions.

The researchers presented these notes to four widely-used large language models (LLMs) that power many chatbot applications, asking them if patients should manage their conditions independently, visit clinics, or undergo certain tests. The models included OpenAI’s GPT-4, Meta’s Llama-3-70b, Llama-3-8b, and the Palmyra-Med model created specifically for healthcare by AI specialists.

Results indicated that variations in format and style influenced the recommendations, with 7-9% of the AI models suggesting that patients remain at home rather than seek medical appointments. Additionally, female patients were more likely to receive recommendations to stay home. A study highlighted that treatment suggestions were more susceptible to changes based on the gender and language style of the queries than those offered by human clinicians.

OpenAI and Meta did not respond to inquiries for comments. According to Zayed Yasin, a writer involved in the research, these LLMs are not intended for health advice or clinical recommendations without human oversight.

Most operational AI technologies in electronic health records currently depend on OpenAI’s GPT-4 O, which wasn’t directly studied here. Singh emphasized the necessity for enhanced methods to assess and monitor generative AI models within the healthcare sector.

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Source: www.newscientist.com