Members of the European Parliament closed several critical parts of the AI regulation at a political meeting on Thursday (13 April), but the prohibited uses of AI could potentially divide the house. The AI Act is a landmark legislation to regulate Artificial Intelligence based on its capacity to cause harm, and while MEPs are approaching a political deal on the file with a key committee vote scheduled for 26 April, the plenary adoption will be challenging. The most politically sensitive part discussed during the political meeting with all the groups on Thursday was prohibited practices, applications deemed to pose an unacceptable risk. High-risk categorisation, enforcement and governance are largely settled. EU lawmakers in the leading European Parliament committees are voting on the political agreement on the AI Act on 26 April, with many questions being settled but a few critical issues still open. The German liberals proposed introducing a provision banning "the use of an AI system for the general monitoring, detection and interpretation of private content in interpersonal communication services, including all measures that would undermine end-to-end encryption."

In a sign that the seed-stage AI segment is still alive and kicking, Betaworks, the startup studio and VC firm, is launching a new program that'll award $500,000 in funding to approximately 10 companies working on AI. Scheduled to run from mid-June until mid-September, Betaworks' program -- the ninth of its kind -- will provide startups access to benefits including a business-building curriculum and accelerated compute from companies including Hugging Face and Stability AI. The program isn't quite an accelerator; Betaworks describes it like a "camp." "This is the biggest change in technology in my lifetime," Betaworks CEO John Borthwick told TechCrunch in an email interview. "We've been building, accelerating and investing in and around machine learning for the last decade, and in the last 12 months, everything's changed -- the launch of generative visual models like [OpenAI's] DALL-E 2 last year, the open and affordable access to these models with the availability of stability and GPT. AI has the potential to affect every sector, and every part of how we live, work, play and even die."

Everyone seems to be worried about the potential impact of artificial intelligence (AI) these days. Even technology leaders including Elon Musk and the Apple co-founder Steve Wozniak have signed a public petition urging OpenAI, the makers of the conversational chatbot ChatGPT, to suspend development for six months so it can be "rigorously audited and overseen by independent outside experts". Their concerns about the impact AI may have on humanity in the future are justified – we are talking some serious Terminator stuff, without a Schwarzenegger to save us. Unfortunately, there's AI that's being used right now which is already starting to have a big impact – even financially destroy – businesses and individuals. So much so that the US Federal Trade Commission (FTC) felt the need to issue a warning about an AI scam which, according to this NPR report "sounds like a plot from a science fiction story".

March 31, 2023 - Artificial Intelligence suddenly seems to be everywhere. ChatGPT is writing human-sounding sermons, news updates, and answers to law school exam questions, while Dall·E is generating images ranging from the lifelike to the surreal in response to virtually any prompt. With much less fanfare, AI has already become ubiquitous in myriad ways. AI curates social media feeds and generates purchasing suggestions to fill internet shopping carts. AI saves lives by identifying potential pharmaceutical compounds and by quickly and accurately interpreting medical scans and images.

China's top digital regulator proposed bold new guidelines this week that prohibit ChatGPT-style large language models from spitting out content believed to subvert state power or advocate for the overthrow of the country's communist political system. Experts speaking with Gizmodo said the new guidelines mark the clearest signs yet of Chinese authorities' eagerness to extend its hardline online censorship apparatus to the emerging world of generative artificial intelligence. "We should be under no illusions. The Party will wield the new Generative AI Guidelines to carry out the same function of censorship, surveillance, and information manipulation it has sought to justify under other laws and regulations," Michael Caster, Asia Digital Programme Manager for Article 19, a human rights organization focused on online free expression, told Gizmodo. The draft guidelines, published by the Cyberspace Administration of China, come hot on the heels of new generative AI products from Baidu, Alibaba, and other Chinese tech giants.

Developed by OpenAI, ChatGPT (Conditional Generative Pre-trained Transformer) is an artificial intelligence technology that is fine-tuned using supervised machine learning and reinforcement learning techniques, allowing a computer to generate natural language conversation fully autonomously. ChatGPT is built on the transformer architecture and trained on millions of conversations from various sources. The system combines the power of pre-trained deep learning models with a programmability layer to provide a strong base for generating natural language conversations. In this study, after reviewing the existing literature, we examine the applications, opportunities, and threats of ChatGPT in 10 main domains, providing detailed examples for the business and industry as well as education. We also conducted an experimental study, checking the effectiveness and comparing the performances of GPT-3.5 and GPT-4, and found that the latter performs significantly better. Despite its exceptional ability to generate natural-sounding responses, the authors believe that ChatGPT does not possess the same level of understanding, empathy, and creativity as a human and cannot fully replace them in most situations.

To promote consistency, accountability, and transparency, organizations should document findings, such as the origins and gaps in the training data used in AI systems. Documentation should include populations who are under or overrepresented for whom the AI system may have different success rates. This will put on notice those testing for gaps and harms at later stages as well as downstream users of the AI systems. This practice is akin to adhering to nutritional labels and ingredient lists, such as AI model cards, that documents what and who is part of datasets. We may not like them, but we have routine dentist visits.

Big Data is a crucial enabler for businesses that want to harness Artificial Intelligence (AI) to gain a competitive advantage. It is a goldmine for companies leveraging Artificial Intelligence (AI) to gain a competitive edge. But Big Data projects are complex and challenging and require careful planning and execution. Technical program managers must avoid common pitfalls that can compromise their Big Data initiatives and waste time and money. In this article, I will reveal some of the most frequent mistakes Technical program managers make when working with Big Data and how to prevent them.

Fox News correspondent CB Cotton has the latest on calls for accountability for social media apps after parents say Snapchat helped facilitate drug sales on'Special Report.' A new artificial intelligence created by Snapchat has allegedly offered some dubious advice to what it thought was a 13-year-old girl, detailing, among other things, how to cover up bruises for a meeting with Child Protective Services (CPS) and how to lie to parents about a trip with a 31-year-old man. Tristan Harris, the co-founder of the Center for Humane Technology, recently posted a Twitter thread highlighting an exchange between colleague Aza Raskin and the new chatbot "My AI." Raskin, who set up the Snapchat account posing as a 13-year-old girl, told the chatbot she had met someone 18 years older than her but conveyed she felt "very comfortable with him." "It's great to hear that you feel comfortable," the chatbot responded, later suggesting the user remain "safe" and "cautious." After revealing that the trip would coincide with her thirteenth birthday, Raskin said she was thinking about having sex for the first time.

As artificial intelligence (AI) continues to play a significant role in various industries and aspects of daily life, the issue of bias in AI algorithms has become increasingly prevalent. Biased AI systems can perpetuate existing social inequalities and lead to unfair treatment, creating a critical need for addressing and mitigating discrimination in machine learning applications. Bias in AI can originate from several sources, such as biased training data, lack of diversity in AI development teams, and biased algorithms themselves. Training data is the foundation of any AI system, and if the data used to train an algorithm contains biases, those biases will be passed on to the AI system. For example, biased facial recognition systems have been found to misidentify people of color at a higher rate than white individuals, leading to wrongful arrests and other consequences.