ArdorComm Media Group

Contact Us
logo
Menu
logo
ArdorComm ArdorComm ArdorComm

bias

Billionaires Aim to Restore Trust in US News Media

Leave a Comment / By / Media Entertainment & Art Community

Tech billionaires Patrick Soon-Shiong and Jeff Bezos are taking steps to address bias and restore trust in the Los Angeles Times and Washington Post. Soon-Shiong is developing an AI-powered “bias meter” for the LA Times, while Bezos is working on new ideas for the Washington Post. These efforts have sparked criticism from press advocates and journalists, who are concerned about the implications for newsroom independence and trust. In a bold move to tackle the growing trust deficit in the US news media, tech billionaires Patrick Soon-Shiong and Jeff Bezos have announced initiatives to overhaul the Los Angeles Times and Washington Post, respectively. Soon-Shiong, who acquired the LA Times in 2018, revealed plans for an artificial intelligence-powered “bias meter” to help readers identify potential biases in news stories. This tool aims to provide readers with balanced perspectives by offering both sides of a story. During an appearance on political commentator Scott Jennings’ radio show, Soon-Shiong emphasized the need for transparency in journalism, questioning whether news reports are truly objective or influenced by personal opinions. His comments have drawn criticism from press advocates and journalists, who argue that such measures could undermine newsroom independence and trust. Ann Marie Lipinski, curator of Harvard’s Nieman Foundation for Journalism, expressed concerns about the potential negative impact on the already fragile news industry. Vivian Schiller, former CEO of NPR, described the plans as a “nightmare” scenario for a billionaire-owned media outlet. Jeff Bezos, who bought the Washington Post in 2013, acknowledged the challenges faced by traditional media in maintaining public trust. Speaking at the New York Times’ DealBook conference, Bezos shared his commitment to revitalizing the Post, despite recent financial losses and declining readership. He hinted at new innovations to address these issues but did not provide specific details. Both Soon-Shiong and Bezos faced backlash for withdrawing their newspapers’ endorsements of presidential candidate Kamala Harris shortly before the US election, a move that further fueled controversy within their newsrooms. As trust in the US news media continues to decline, with less than a third of Americans expressing confidence in fair and accurate reporting, the efforts by Soon-Shiong and Bezos highlight the ongoing struggle to balance journalistic integrity with the evolving demands of the digital age. Source: Ft.com Photo Credit: Ft.com  

WHO Calls for Regulation of AI in Healthcare Due to Risks, Citing Bias and Privacy Concerns

Leave a Comment / By / Health & Wellness Community
News on Health

The World Health Organization (WHO) is calling for the regulation of artificial intelligence (AI) in healthcare due to the associated risks, according to a report. WHO emphasizes the need to establish safety and efficacy in AI tools, make them accessible to those who require them, and encourage communication among AI developers and users. While recognizing AI’s potential to enhance healthcare by strengthening clinical trials, improving diagnosis and treatment, and enhancing healthcare professionals’ knowledge and skills, the report by data and analytics company GlobalData highlights the rapid deployment of AI technologies without a full understanding of their long-term implications, which could pose risks to healthcare professionals and patients. Alexandra Murdoch, a Senior Analyst at GlobalData, acknowledges the significant benefits of AI in healthcare but also highlights the risks associated with rapid adoption. AI systems in healthcare often have access to personal and medical information, necessitating regulatory frameworks to ensure privacy and security. Other challenges with AI in healthcare include unethical data collection, cybersecurity vulnerabilities, and the reinforcement of biases and dissemination of misinformation. An example of AI biases is found in a Stanford University study, which revealed that some AI chatbots provided inaccurate medical information about people of color. In this study, nine questions were posed to four AI chatbots, including OpenAI’s ChatGPT and Google’s Bard, and all four chatbots provided inaccurate information related to race and kidney and lung function. The use of such false medical information is a cause for concern, as it could lead to issues like misdiagnoses and improper treatment for patients of color. WHO has identified six areas for regulating AI in healthcare, with a focus on managing the risks associated with AI amplifying biases in training data. These areas for regulation include transparency and documentation, risk management, data validation and clarity of AI’s intended use, a commitment to data quality, privacy and data protection, and the promotion of collaboration. Alexandra Murdoch hopes that by outlining these regulatory areas, governments and regulatory bodies can develop regulations to safeguard healthcare professionals and patients while fully harnessing the potential of AI in healthcare.