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The rapid advancement of generative AI technology has revolutionized digital content creation, but bias remains a persistent issue. A recent investigation by Wired magazine into OpenAI's video generation tool, Sora, revealed that the tool frequently reinforces stereotypes related to race, gender, and ability, sometimes even neglecting the representation of certain groups. Image Note: Image generated by AI, image licensed by Midjourney. In the investigation, researchers provided S...

Against the backdrop of Trump's return to the White House, top entrepreneurs from Silicon Valley are quietly becoming key technological advisors to the president. Elon Musk, Marc Andreessen, and David Sacks are among those strategizing for Trump, with their most notable point being their strong criticism of AI regulation. This group of tech elites believes that AI chatbots are emerging as a new ideological battleground. Their core concern is that large tech companies may use AI systems to propagate specific political positions, achieving a more covert and effective form of 'regulation'.

Recently, a study conducted jointly by Ruhr University Bochum, GESIS Leibniz Institute, and CISPA Helmholtz Center revealed that accounts on X (formerly Twitter) using AI-generated avatars only account for 0.052% of all accounts. Researchers analyzed nearly 15 million X accounts and found that 7,723 accounts used AI-generated avatars. Image source note: Image generated by AI, image authorized by service provider Midjourney. These accounts exhibited significant characteristics.

OpenAI researchers recently discovered an interesting phenomenon: the usernames chosen by users when interacting with ChatGPT may subtly influence the AI's responses. However, this influence is generally very small and primarily limited to earlier, unoptimized versions of the model. This study delves into the differences in ChatGPT's reactions to identical questions when faced with usernames related to different cultural backgrounds, genders, and ethnicities. The choice of usernames as a focal point for the research was made because names often carry specific cultural, gender, and ethnic connotations.

Recently, OpenAI's research team discovered that the usernames chosen by users can somewhat influence the responses of ChatGPT during interactions. Although this effect is relatively minor and primarily seen in older models, the findings are still noteworthy. Users typically provide their names to ChatGPT for tasks, making the cultural, gender, and racial backgrounds inherent in those names an important factor in studying bias. In this research, the researchers explored ChatGPT.

Recently, a new study has drawn attention, revealing that ChatGPT's responses reflect the cultural values of people from English-speaking and Protestant countries. The core of this study is that large language models like ChatGPT were trained on a vast amount of data from certain countries and cultures, which may lead to outputs that carry cultural biases. The research team, led by René F Kizilcec and his colleagues, examined five different versions of OpenAI's GPT.

Language models have shown widespread applications across various fields, from education to legal consulting, and even in predicting medical risks. However, as these models gain more weight in decision-making processes, they may unintentionally reflect the biases present in the human training data, exacerbating discrimination against minority groups. Research has found that language models exhibit implicit racism, particularly in their treatment of African American English (AAE), demonstrating harmful dialect discrimination that is more negative than any known stereotypes against African Americans. The 'masking disguise' method was used to compare AAE with Standard American English.

The Oklahoma City Police Department is experimenting with the AI chatbot 'Draft One' to generate reports in order to save time. Developed by Axon, the system utilizes ChatGPT technology to quickly produce reports from audio recordings. Supporters believe this could significantly improve efficiency, but critics are concerned about potential errors, biases, and the risks of power abuse that automation could bring. Activist Aurelius Francisco expresses discomfort with the use of AI and tasers from the same company, fearing potential misuse.

The AI technology developed by Stanford psychologist Mikhail Kosinski can accurately determine IQ, sexual orientation, and political leanings by scanning faces, with accuracy rates of 72%, 91%, and 72%, respectively. This study has sparked ethical controversies and potential misuse, such as discrimination against the LGBTQ+ community. The use of facial recognition technology has already led to privacy breaches and violations of civic liberties, highlighting the importance of protecting privacy rights and civil freedoms. Kosinski's research not only warns of the potential dangers of facial recognition technology but also reveals the negative implications it may bring.

The application of artificial intelligence in job recruitment aims to improve objectivity and efficiency, but studies reveal its potential to exacerbate bias. AI learns from data, and biases in datasets can lead to unfair algorithmic outcomes. The educational and professional gaps between HR and AI developers hinder effective collaboration, impacting the ability to identify and reduce biases. To address this issue, it is recommended to implement structured training programs to enhance HR professionals' knowledge of AI; promote interdisciplinary teamwork to ensure datasets are diverse and represent different groups; and establish guidelines and ethics.

As reported by foreign media, design giant Canva has clearly defined the scope of content that its AI tool can and cannot generate. Canva's CEO Melanie Perkins stated during an interview that Canva's AI feature, named Magic Media, should not be used with medical or political terminology, as such content could be harmful or inappropriate.Canva's software can be used to create everything from party invitation cards to social media content and presentation templates. For instance, if the tool is pr

Google is providing advertisers with a more convenient way to reveal whether political advertisements contain content generated by artificial intelligence.According to a report by Search Engine Land, Google stated that whenever advertisers mark election advertisements as containing "synthetic or digitally modified content," the system will automatically generate disclosure information. Last year, Google required political advertisers to include their own "clearly visible" disclosure information

Google DeepMind has conducted research on the most common malicious applications of AI for the first time, revealing that AI-generated 'deepfakes' of false politicians and celebrities are more prevalent than attempts to use AI-assisted cyber attacks. This study was a collaboration between Google's AI division DeepMind and its R&D unit Jigsaw, aimed at quantifying the risks of AI generation tools that have been pushed to market by the world's largest tech companies seeking massive profits.