A still from Humans in the Loop, a 2024 documentary that follows female data workers in Jharkhand state, India, whose labour underpins global AI systems. A still from Humans in the Loop, a 2024 documentary that follows female data workers in Jharkhand state, India, whose labour underpins global AI systems. 'In the end, you feel blank': India's female workers watching hours of abusive content to train AI Thu 5 Feb 2026 03.00 ESTLast modified on Thu 5 Feb 2026 03.03 EST On the veranda of her family's home, with her laptop balanced on a mud slab built into the wall, Monsumi Murmu works from one of the few places where the mobile signal holds. The familiar sounds of domestic life come from inside the house: clinking utensils, footsteps, voices. On her screen a very different scene plays: a woman is pinned down by a group of men, the camera shakes, there is shouting and the sound of breathing.

Alex Shieh is a student at Brown University. He is making waves and facing charges for asking the school's non-faculty employees what they do all day. A sophomore at Brown University is facing the school's wrath after he sent a DOGE-like email to non-faculty employees asking them what they do all day to try to figure out why the elite school's tuition has gotten so expensive. "The inspiration for this is the rising cost of tuition," Alex Shieh told Fox News Digital in an interview. "Next year, it's set to be 93,064 to go to Brown," Shieh said of the Ivy League university.

The EU AI Act Article 5 is designed to regulate AI manipulation to prevent potential harmful consequences. However, the practical implementation of this legislation is challenging due to the ambiguous terminologies and the unclear presentations of manipulative techniques. Moreover, the Article 5 also suffers criticize of inadequate protective efficacy. This paper attempts to clarify terminologies and to enhance the protective efficacy by integrating insights from psychology and behavioral economics. Firstly, this paper employs cognitive psychology research to elucidate the term subliminal techniques and its associated representation. Additionally, this paper extends the study of heuristics: a set of thinking shortcuts which can be aroused for behavior changing from behavior economics to the realm of manipulative techniques. The elucidation and expansion of terminologies not only provide a more accurate understanding of the legal provision but also enhance its protective efficacy. Secondly, this paper proposes five classical heuristics and their associated examples to illustrate how can AI arouse those heuristics to alter users behavior. The enumeration of heuristics serves as a practical guide for stakeholders such as AI developers, algorithm auditors, users, and legal practitioners, enabling them to identify manipulative techniques and implement countermeasures. Finally, this paper critically evaluates the protective efficacy of Article 5 for both the general public and vulnerable groups. This paper argues that the current protective efficacy of Article 5 is insufficient and thus proposes specific revision suggestions to terms a and b in Article 5 to enhance its protective efficacy. This work contributes to the ongoing discourse on AI ethics and legal regulations, providing a practical guide for interpreting and applying the EU AI Act Article 5.

Let me introduce you to Marie. Marie is a 28-year-old professional and while on her way home from work is talking to a TikTok follower about the French elections. This follower has an uncanny ability to touch on subjects that mean the most to her. Almost overnight, Marie's social media feeds become increasingly filled with political themes, until on election day, her vote has already been heavily influenced. The trouble is the TikTok follower is not a person, but an artificial intelligence-driven bot, exploiting personal but publicly available data about Marie to manipulate her opinion.

The use of artificial intelligence in medicine is generating great excitement and hope for treatment advances. AI generally refers to computers' ability to mimic human intelligence and to learn. For example, by using machine learning, scientists are working to develop algorithms that will help them make decisions about cancer treatment. They hope that computers will be able to analyze radiological images and discern which cancerous tumors will respond well to chemotherapy and which will not. But AI in medicine also raises significant legal and ethical challenges.

The physicians providing their patients with artificial intelligence predictions must make sure that the patients are thoroughly educated about the various pros and cons of the forecast. AI promotes the welfare of patients, but doctors must also recognize its risks and then proceed with caution. FREMONT, CA: The usage of artificial intelligence (AI) in medicine is creating great enthusiasm and hope for the advancement of treatment in the future. For example, scientists are using machine learning to develop a tool that will help them make decisions for cancer treatment. They hope that the computers will be able to analyze radiological images and recognize the cancerous tumors that will respond to chemotherapy and the ones which will not. Having said this, the use of AI in the medical sector can also raise many legal and ethical challenges.

The use of artificial intelligence in medicine is generating great excitement and hope for treatment advances. AI generally refers to computers' ability to mimic human intelligence and to learn. For example, by using machine learning, scientists are working to develop algorithms that will help them make decisions about cancer treatment. They hope that computers will be able to analyze radiological images and discern which cancerous tumors will respond well to chemotherapy and which will not. But AI in medicine also raises significant legal and ethical challenges.

The use of artificial intelligence in medicine is generating great excitement and hope for treatment advances. AI generally refers to computers' ability to mimic human intelligence and to learn. For example, by using machine learning, scientists are working to develop algorithms that will help them make decisions about cancer treatment. They hope that computers will be able to analyze radiological images and discern which cancerous tumors will respond well to chemotherapy and which will not. But AI in medicine also raises significant legal and ethical challenges.

The use of artificial intelligence in medicine is generating great excitement and hope for treatment advances. AI generally refers to computers' ability to mimic human intelligence and to learn. For example, by using machine learning, scientists are working to develop algorithms that will help them make decisions about cancer treatment. They hope that computers will be able to analyze radiological images and discern which cancerous tumors will respond well to chemotherapy and which will not. But AI in medicine also raises significant legal and ethical challenges.

The use of artificial intelligence in medicine is generating great excitement and hope for treatment advances. AI generally refers to computers' ability to mimic human intelligence and to learn. For example, by using machine learning, scientists are working to develop algorithms that will help them make decisions about cancer treatment. They hope that computers will be able to analyze radiological images and discern which cancerous tumors will respond well to chemotherapy and which will not. But AI in medicine also raises significant legal and ethical challenges.