The U.S. Equal Employment Opportunity Commission (EEOC) is intensifying its efforts to detect and address discrimination in screening, recruiting, and hiring processes that involve the use of artificial intelligence (AI). With the rise of automation and AI technologies in human resources (HR), concerns have emerged regarding potential bias and discrimination in these systems. The EEOC is determined to ensure that
The field of medicine has witnessed a rapid integration of AI-based tools in recent years. In fact, the US Food and Drug Administration (FDA) has authorized over 500 AI tools for use in medical care, showcasing the increasing reliance on these intelligent technologies. However, despite the existence of a wide range of clinical AI tools, surveys reveal that only a
In the fast-paced world of programming, the advent of generative AI has brought about significant advancements. With its ability to handle tedium and identify errors, generative AI has become an invaluable tool for developers. However, it is essential to recognize that while AI can streamline processes, the expertise and intuition of programmers remain fundamental to the development process. Expertise and
The rapid advancement of generative AI models, such as OpenAI’s GPT-4 and Google’s PaLM 2, holds incredible potential to revolutionize automation, data analysis, and user experience. However, these language models sometimes suffer from hallucinations, where they generate inaccurate or nonsensical responses. In this article, we delve into the underlying causes of hallucinations in Language Models (LMs) and explore techniques like
Artificial intelligence (AI) has revolutionized numerous industries, but its immense power raises concerns regarding potential misuse. Therefore, it is crucial to eliminate risks associated with AI deployment and ensure its adherence to intended purposes. This article delves into the importance of verification methods in guaranteeing AI integrity and preventing misuse. Importance of Eliminating Risks in AI Misuse through Training and
In recent years, artificial intelligence (AI) has emerged as a powerful tool with transformative potential in healthcare. Recognizing the need to harness this potential while mitigating risks, the World Health Organization (WHO) has introduced new guidelines to guide countries in effectively regulating AI in healthcare. These guidelines aim to strike a balance, ensuring that AI revolutionizes the healthcare industry responsibly.
The rise in artificial intelligence (AI) tools has revolutionized the field of software development, with developers harnessing the power of AI to generate creative outputs. The emergence of Generative AI (GAI) has further propelled this shift, fundamentally changing the way software is built. However, as GAI continues to evolve, it brings forth a new set of challenges, particularly with regards
The rapid advancements in artificial intelligence (AI) technology have the potential to revolutionize the way we work. AI is not just a buzzword, it is poised to create a whole new way of working. According to predictions, generative AI will be a workforce partner for 90% of companies worldwide by 2025. The impact of AI in the workplace cannot be
Universal and several other music publishers have launched a lawsuit against AI company Anthropic, accusing them of utilizing copyrighted lyrics in their artificial intelligence (AI) systems. The complaint specifically targets Anthropic’s chatbot, Claude 2, claiming that it incorporates “all or significant portions” of copyrighted lyrics in its generated responses. The plaintiffs further allege that the chatbot actively mines copyrighted material,
IBM Research has made a groundbreaking advancement in the field of artificial intelligence (AI) with the development of a dedicated computer chip that outperforms existing chips by a staggering 22 times. This remarkable achievement in image recognition holds the potential to revolutionize numerous industries and pave the way for the future of AI. In this article, we delve into the
In today’s digital age, where cyber threats constantly evolve, organizations are increasingly turning to advanced technologies to bolster their security operations. Among these technologies, artificial intelligence (AI) has emerged as a promising tool to enhance cybersecurity. This article delves into the potential of AI in security operations, the challenges and opportunities in its implementation, and strategies to maximize its benefits.
The rapid shift towards an AI-driven ecosystem has proven to be a game-changer for businesses, with significant advancements playing out in cloud computing environments. This article delves into the crucial aspects of leveraging generative AI models in such settings, highlighting the need for effective data operations, scalable AI and cloud solutions, consistent monitoring, robust security measures, regular maintenance, and careful
