In a significant move to combat child exploitation, the Australian Federal Police (AFP) has utilized Clearview AI's facial recognition technology. Despite the absence of a comprehensive legislative framework governing such technology, the AFP acknowledged its use as part of a trial initiative aimed at assessing the capabilities of Clearview AI in addressing child exploitation cases.

Deputy Commissioner Karl Kent clarified that while the AFP experimented with the facial recognition system, no formal procurement agreements have been established with Clearview AI. This revelation prompted the opposition Labor party to seek an explanation from Home Affairs Minister Peter Dutton regarding the potential legal implications of employing such technology without proper legislative backing.

An official statement from the AFP confirmed that the Australian Centre to Counter Child Exploitation (ACCCE) spearheaded the trial, which ran from November 2, 2019, to January 22, 2020. The trial involved using the system to search for known and unknown individuals implicated in ongoing or past child exploitation cases. The scope of the trial remained restricted, with limited visibility outside the ACCCE Operational Command.

Clearview AI has faced significant scrutiny and opposition due to its database of billions of images scraped from the web, raising privacy concerns among activists. Critics argue that individuals' images are used without consent, infringing on privacy rights. However, according to Clearview AI's lawyer, Tor Ekeland, common law does not traditionally recognize facial privacy rights, emphasizing the public nature of one's face.

Hoan Ton-That, the founder of Clearview AI, has distanced himself from former associations with far-right ideologies, attributing his past explorations to a search for personal identity rather than genuine belief.

In light of these developments, the conversation surrounding AI technologies, their applications, and the ethical implications continues to evolve, highlighting the delicate balance between leveraging technological advancements and safeguarding civil liberties.

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In a significant move against the controversial use of artificial intelligence, over 1,000 researchers and academics have rallied together by signing an open letter. Their opposition points towards the development of AI systems designed to predict criminal behavior—a topic reminiscent of futuristic narratives like Minority Report. The concept, while enticing in theory for preemptive policing, raises profound ethical questions and practical challenges.

At the heart of this debate is an upcoming paper titled ‘A Deep Neural Network Model to Predict Criminality Using Image Processing’. The authors claim their system can anticipate criminal behavior through automated facial recognition. Nathaniel J.S. Ashby, a Harrisburg University Professor and co-author, suggests the model aims to automate threat detection devoid of bias, thus providing tools for crime prevention in sectors ranging from law enforcement to military use.

However, the academic community expresses deep skepticism. The signatories of the opposition letter, including those from prominent tech companies like Microsoft and Google, highlight critical flaws inherent in current AI systems—specifically years-long issues of racial bias within facial recognition technologies. These systems exhibit a troubling pattern of inaccuracies, especially in misidentifying individuals from BAME communities compared to detecting white males.

These disparities underline a broader, systemic problem within the criminal justice system, as recently spotlighted by global protests following George Floyd's tragic death. The letter critiques the reliance on historical arrest and conviction data as inherently flawed; such records are skewed by deep-seated biases and inequities embedded in policing and judicial rulings. The perpetuation of racial biases and distorted perspectives makes any reliance on AI for crime prediction problematic and deeply concerning.

Jonathan W. Korn, a co-author of the contested paper and NYPD veteran, argues for the potential advantages of such AI in law enforcement. Nonetheless, critics caution against privacy infringements and the risk of institutionalizing racial profiling through technology. The core of their argument is that machine learning and algorithmic programs cannot escape inheriting societal biases, leading to discriminatory practices and reinforcing negative cultural stereotypes.

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----------------
Mọi thông tin xin liên hệ
Địa chỉ 1: 60A Đường Kênh Tân Hóa, P. Phú Trung, Q. Tân Phú.
Địa chỉ 2: 148/06 Hoàng Diệu 2, Linh Chiểu, TP. Thủ Đức
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