Earlier this year, ChatGPT was briefly banned in Italy due to a suspected privacy breach. To help overturn the ban, the chatbot’s parent company, OpenAI, committed to providing a way for citizens to object to the use of their personal data to train artificial intelligence (AI) models.
AI-Narrated Audiobooks Are Here – And They Raise Some Serious Ethical Questions
Meet Madison and Jackson, the AI narrators or “digital voices” soon to be reading some of the audiobooks on Apple Books.
Meet Madison and Jackson, the AI narrators or “digital voices” soon to be reading some of the audiobooks on Apple Books.
Prompt Engineering: Is Being an AI ‘Whisperer’ the Job of the Future or a Short-Lived Fad?
As generative AI settles into the mainstream, growing numbers of courses and certifications are promising entry into the “hot job” of prompt engineering.
As generative AI settles into the mainstream, growing numbers of courses and certifications are promising entry into the “hot job” of prompt engineering.
Bridging the Gap Between Learning and Reasoning
If you have ever chatted with an AI language model like chatGPT, you might have been impressed by its coherent and well-structured answers.
If you have ever chatted with an AI language model like chatGPT, you might have been impressed by its coherent and well-structured answers.
Studying Plant-Climate Relationships Using Machine Learning
Scientists from UNSW and Botanic Gardens of Sydney have trained AI to unlock data from millions of plant specimens kept in herbaria around the world, to study and combat the impacts of climate change on flora.
Scientists from UNSW and Botanic Gardens of Sydney have trained AI to unlock data from millions of plant specimens kept in herbaria around the world, to study and combat the impacts of climate change on flora.
How Sure Is Sure? Incorporating Human Error Into Machine Learning
Human error and uncertainty are concepts that many artificial intelligence systems fail to grasp, particularly in systems where a human provides feedback to a machine learning model.
Human error and uncertainty are concepts that many artificial intelligence systems fail to grasp, particularly in systems where a human provides feedback to a machine learning model.