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In April 2013, the Bahamas Commissioner of Police Ellison Greenslade warned that the police would press charges against people who post “lewd” or “obscene” pictures on social media websites and Attorney General Allyson Maynard-Gibson announced that the government was working on legislation that will police information posted on the ...
Artificial intelligence (AI), in its broadest sense, is intelligence exhibited by machines, particularly computer systems.It is a field of research in computer science that develops and studies methods and software that enable machines to perceive their environment and use learning and intelligence to take actions that maximize their chances of achieving defined goals. [1]
In July 2023, the fact-checking company Logically found that the popular generative AI models Midjourney, DALL-E 2 and Stable Diffusion would produce plausible disinformation images when prompted to do so, such as images of electoral fraud in the United States and Muslim women supporting India's Hindu nationalist Bharatiya Janata Party.
Benefits of AI automation in business processes. The right tools to minimize and streamline work can make running an efficient business easier. Businesses can use AI automation to reduce workloads ...
The gender was not clearly pronounced in two of the images (deepai and hotpot.ai), but both generators created people with slightly more masculine traits (such as thicker eyebrows, cleft chin ...
Artificial intelligence detection software aims to determine whether some content (text, image, video or audio) was generated using artificial intelligence (AI).. However, the reliability of such software is a topic of debate, [1] and there are concerns about the potential misapplication of AI detection software by educators.
TO PROPERLY TELL this story, I should note that I have zero experience with ChatGPT, or any other AI chatbot. All I know about generative AI is this: You can ask it to do anything, and it'll ...
In 2016, Reed, Akata, Yan et al. became the first to use generative adversarial networks for the text-to-image task. [5] [7] With models trained on narrow, domain-specific datasets, they were able to generate "visually plausible" images of birds and flowers from text captions like "an all black bird with a distinct thick, rounded bill".