Tag: Trust
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How AI Art Put an End to an Indie Book Cover Contest
The use of AI in book cover contests is a growing concern in the publishing industry. The recent abrupt end to a science fiction and fantasy convention contest due to the use of AI-generated art sparked controversy around transparency and fairness. This incident highlights the need for clear guidelines and disclosure when it comes to using AI software in sectors such as literature and art, to maintain the trust of artists, publishers, and readers alike. As AI continues to shape creative industries, transparency and collaboration between humans and machines are vital.
ChatGPT: Fintech’s Ally or Adversary? Exploring Beyond the Chat
Financial firms need innovative technologies to keep up with the digital-first world. Enter ChatGPT, a cutting-edge machine learning tool that empowers marketing activities. However, it's not a substitute for human creativity and skills. Discover the advantages and limitations of ChatGPT in marketing strategies.
AI Will Create Better Job Opportunities in Future: OpenAI CEO Sam Altman
AI systems will bring newer and better jobs, replacing some of the existing ones, says OpenAI CEO, Sam Altman. However, every technological revolution comes with a trust factor that society will counter with new techniques. The threat posed by AI is real, though people will adapt to it over time.
Simplifying IT: Cisco CEO’s Call to Action
Cisco CEO Chuck Robbins unveils the company's plan to simplify customers' technology experience and improve system management processes. With a focus on connectivity and security, Robbins discusses new platforms and the responsible use of artificial intelligence for optimal productivity. Cisco is determined to maintain its course of innovation to help businesses worldwide.
Lack of Trust Hindering AI Progress in Medical Settings: GE Healthcare Report
A GE Healthcare survey reveals the rising skepticism towards the use of AI in medical settings. Despite recognizing its benefits, 55% of respondents believe AI is not ready for use in medicine, and 58% expressed lack of trust in AI data. Mistrust arises from algorithms producing discriminatory results based on biased data. Clinicians require sufficient training to understand how AI can augment patient care. AI-driven systems can help resolve administrative tasks and allow for greater focus on patient care.