February 1, 2023

overview

What Even Is Artificial Intelligence? Your Guide to the AI Gold Rush Hitting SF

The San Francisco Standard, 02/01/23. Artificial Intelligence (AI) refers to the development of computer systems that can perform tasks that typically require human intelligence, such as understanding natural language, recognizing images, and making decisions. AI systems use machine learning algorithms to learn from data and improve their performance over time. Some of the major players in the AI industry include tech giants like Google, Amazon, and Microsoft, as well as startups like OpenAI, which is focused on developing safe AI that benefits humanity.

The use of AI is growing rapidly across many industries, including healthcare, finance, and retail, with the potential to revolutionize the way work is done and improve quality of life. There are several terms associated with AI, including machine learning, deep learning, and neural networks, which are all important elements of the technology. VIEW FULL ARTICLE

Customer Experience

How can generative AI improve the customer experience?

ZDNET, 02/01/23. Generative AI is a type of artificial intelligence that focuses on creating new content, such as images, music, and text, by training machine learning models on large datasets. The goal of generative AI is to mimic human creativity, allowing machines to produce new, original output without the need for explicit programming. Some popular examples of generative AI include DeepDream, a deep learning program that generates images based on patterns in a dataset, and GPT-3, a language model that can generate text that is virtually indistinguishable from human writing.

Generative AI is considered a cutting-edge area of AI research and has the potential to transform many industries, from design and advertising to entertainment and education. However, it also raises ethical and societal questions, such as who will control the content generated by these systems and how to ensure that it aligns with our values and principles. READ FULL ARTICLE

technology

Whispers of A.I.’s Modular Future

The New Yorker, 02/01/23. Modular AI involves dividing complex AI systems into smaller, specialized components that can be combined to achieve specific objectives. This approach offers greater flexibility and efficiency in AI development, as well as improved transparency and control. The advancement in AI hardware, such as neural processors, is driving this modular approach and leading to new applications in fields such as robotics and autonomous vehicles.

The modular approach also presents challenges that need to be addressed, including standardized interfaces and potential unintended consequences. OpenAI’s “Whisper” project is significant in this context as it showcases the potential of modular AI and highlights the need for addressing the challenges for realizing its full potential. READ FULL ARTICLE

Fact check

Fact-Checkers Are Scrambling to Fight Disinformation With AI

Wired, 02/01/23. AI has the potential to improve the speed and accuracy of fact-checking in journalism, but it also has limitations and challenges. AI models may perpetuate misinformation if not programmed to understand context, and their lack of transparency can lead to distrust. The use of AI in journalism raises ethical questions about accuracy and responsibility. The goal should be to use AI as a tool to assist fact-checkers, not to replace them, and to ensure that AI algorithms are reliable and accurate. The human element should also be maintained in fact-checking as AI models can only understand context to a certain extent. FULL ARTICLE

law

The AI boom is here, and so are the lawsuits

Vox, 02/01/23. The use of generative AI models like OpenAI’s GPT-3 has sparked legal debates over their impact on the creation and distribution of content. The stable diffusion of such models raises concerns about their potential for copyright infringement, as AI-generated content can closely mimic existing works. The debate over AI’s impact on creative industries is reminiscent of the Napster controversy in the music industry, which also involved questions about the distribution of content and the protection of intellectual property rights.

The legal battles over AI’s impact on content creation and distribution will likely continue, as the technology advances and becomes more widely used. It’s important to establish clear regulations and guidelines for the use of AI in creative industries to protect the rights of creators and ensure the stability and fairness of the industry. READ FULL ARTICLE