Thanks to more the 750,000 readers and supporters of this newsletter. I hope that you enjoy the latest AI news and insights, make sure to check the Web3 section at the end! [BGR] Val Kilmer’s Top Gun: Maverick dialog was all AI since he can no longer speak: Thanks to a special voice AI program, Kilm

This Specialization is intended for beginners seeking to enter the artificial intelligence world. Through five courses, you will cover artificial intelligence technical groundings (including machine learning and technologies), ethical and legal issues, which will give you a clear picture of what artificial intelligence is and what opportunities artificial intelligence will provide in the next future.

Research into Artificial Intelligence (AI) has been ongoing for decades, with early proposals dating back to 1950. However, only in recent years, it has seen a resurgence in popularity thanks to the increased availability of computing power and the growth of big data and machine learning. AI is the ability of machines to perform tasks that ordinarily require human intelligence, such as understanding natural language and recognizing objects. With the rapid expansion of AI, there are opportunities for businesses and individuals alike to capitalize on its capabilities. AI is a field of computer science and engineering focused on the creation of intelligent agents, which are systems that can reason, learn, and act autonomously.

Hardly a day goes by without another revelation of race, gender, and other biases being embedded in artificial intelligence systems. Just this month, for example, Silicon Valley's much-touted AI image generation system DALL-E disclosed that its system exhibits biases including gender stereotypes and tends "to overrepresent people who are White-passing and Western concepts generally." For instance, it produces images of women for the prompt "a flight attendant" and images of men for the prompt "a builder." In the disclosure, OpenAI, the entity that trained DALL-E, says it is only releasing the program to a limited group of users while it works on mitigating bias and other risks. Meanwhile, researchers using machine learning to examine electronic health records found that Black patients were more than twice as likely to be described in derogatory terms (like "resistant" or "noncompliant") in their patient records. And those are the types of records that often make up the raw material for future AI programs, like the one that aimed to predict patient-reported pain from X-ray data but was only able to make successful predictions for White patients.

Fortunately, the search proved successful. But it wasn't a human who found the promising molecules. It was a machine learning program. One compound has been patented under the name Halicin in homage to HAL, the artificial intelligence (AI) in Arthur C Clarke's classic 2001: A Space Odyssey. Halicin works differently from existing antibiotics, disrupting the bacteria's ability to access energy, and researchers hope bacteria may struggle to develop resistance to it.

It's the latest lawsuit filed by Thaler, who has sought to secure AI intellectual property rights around the world, so far with limited success. On Monday, he will argue before the US Court of Appeals for the Federal Circuit that inventors on patents do not need to be human. "My interest is the definition of what a person is," Thaler said in an interview with Bloomberg Law. "What I'm building, what many will argue, is sentient machine intelligence. So maybe expansion to the term sentient organism would be in order."

One of Europe's largest business software providers, with 14,000 employees, 1,135,000 private and public sector customers across the Nordics, Benelux, Central and Eastern Europe and Latin America, Visma, has adopted Luminance's AI-powered legal process automation tool as part of its M&A due diligence reviews, as the Oslo-headquartered company looks to continue its rapid growth trajectory that has seen a net revenue of €1.74 billion in 2020. Norway's Visma made a record 42 acquisitions in 2021. This increased M&A activity means the company's in-house legal department must review large volumes of data when assessing acquisition opportunities and analysing areas of risk and opportunity. Hjalmar Florijn, Head of Legal at Visma Benelux, commented that the rapid insight from Luminance will also help them to keep more M&A work in-house and reduce reliance on external counsel: "As Visma continues to experience rapid growth, it is critical that we can instantly understand the contractual landscape of an acquisition target. With Luminance, our in-house legal teams will be able to uncover critical findings earlier in the review process, giving us confidence that we have been appraised of all possible risks and allowing us to plan our business strategy accordingly," said Florijn.

Artificial Intelligence (AI) is a suite of technologies that are experiencing a renaissance moment. No longer merely a dream of computer scientists, AI is now widely deployed in a variety of applications. Our focus is "African AI" – AI that is developed in Africa and/or by African developers for use within the African context or primarily for African users. By researching AI tools, products, trends, policies, and impacts, we seek to contribute to the conversations that will help to positively steer the development and impact of AI. In particular, we seek to contribute to the definition and pursuit of responsible AI.

As AI proliferates, and governments attempt to catch up in structure and law to the fast growing technology, AI Ethics has emerged as a critical topic that everyone should be aware of. So, what is AI Ethics and why does it matter? Definitions vary, but in general, AI Ethics is the term given to a broad collection of considerations for responsible AI that combines safety, security, human concerns and environmental considerations. Experience with AI has demonstrated that following good AI Ethics is not just responsible behavior, it is required to get good business value out of AI. Ethics issues can pose business risk such as product failures, legal issues, brand damage and more.

As we begin to grow the MILKit community organically, it's important to keep the marketing message clear and accurate. M.I.L.K. an acronym for Machine Intelligence Launch Knowledge, which describes our machine learning objective. The utility we're building for the crypto community is unique. Not just another DEX, Swap, P2E metaverse game but a vitally important utility to help protect people from scams, rug-pulls, honeypots and other blockchain hazards. This article will be a living document, which will be updated to include answers to questions that arise from the community.