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Who Is Liable When AI Kills?

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Who is responsible when AI harms someone? A California jury may soon have to decide. In December 2019, a person driving a Tesla with an artificial intelligence driving system killed two people in Gardena in an accident. The Tesla driver faces several years in prison. In light of this and other incidents, both the National Highway Transportation Safety Administration (NHTSA) and National Transportation Safety Board are investigating Tesla crashes, and NHTSA has recently broadened its probe to explore how drivers interact with Tesla systems.


87% of Indian firms to hike their AI spend by 10% in 3 years

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Nearly 87 per cent of enterprises in India are likely to increase annual artificial intelligence (AI) spending by more than 10 per cent in the next three years, a new report showed on Tuesday. Approximately 80 per cent of enterprises in the country have at least one AI model in production, indicating an extensive penetration of AI/machine learning (ML) across enterprises. Within providers, too, 64 per cent have AI/ML as a core element for many of their products, as against 56 per cent of their global counterparts, according to the report by Bain & Company's, in collaboration with Microsoft and the Internet and Mobile Association of India (IAMAI). "While the availability of data and cloud-based infrastructure have aided AI adoption, concerns related to data security, infrastructure, and management continue to be the most significant barriers for enterprises," said Velu Sinha, Partner, Bain & Company and co-author of the report. The report was launched by Amitabh Kant, CEO, NITI Aayog, in the presence of top executives from the companies.


Exploring the ML Tooling Landscape (Part 3 of 3)

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The previous blog post in this series considered the current state of the ML tooling ecosystem and how this was reflected in ML adoption in industry. The main takeaway was the widespread use of propriety tooling amongst companies in this field, with a correspondingly diverse and splintered ML tooling market. The post ended by looking at some emerging near-term trends, highlighting the predominance of data observability and related tools, as well as the emergence of MLOps startups. This blog post will pick up from this previous thread to discuss some of the key trends in ML tooling that are likely to dominate in the near future -- or at least ones I want to talk about! As indicated in the previous blog post, I want to focus on MLOps, AutoML, and data-centric AI.


Artificial intelligence no longer a fringe tech in India: report

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Artificial Intelligence (AI) is no longer a fringe technology in India. Although penetration in application is relatively low, the AI market in the country is witnessing a broad-based awareness and adoption among both enterprises and providers, according to a latest report by Bain & Company. Though organisations in India are deploying AI tools and solutions in some form or the other over a period of time, the adoption rate has seen a spurt in recent times. "About 80 per cent of enterprises have at least one AI model in production, indicating an extensive penetration of AI/Machine Learning (ML)," the survey, conducted in association with Microsoft and Internet and Mobile Association of India (IAMAI), said. "Providers in India are either ahead of or on par with their global counterparts when in it comes to AI capability on scale implementations," it added.


The adoption of safe and effective artificial intelligence in health and social care

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In this blog, Dr Mani Hussain, Director of Primary and Community Care, talks about CQC's involvement in the multi-agency advice service on artificial intelligence. Artificial intelligence (AI) and Data-driven technologies have exciting potential to improve the quality of care for people using services. For example, hospitals are now using AI to support radiologists with their decision making. In diagnostics, AI can help analyse x-rays leading to the quick identification of abnormalities. In research, AI is used to analyse large swathes of data which helps to discover and validate new drugs.


AI adoption to add $500 bn to India's GDP by 2025: Nasscom

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New Delhi, June 23 The adoption of artificial intelligence (AI) and data utilisation strategy can add $500 billion to India's GDP by 2025, a new Nasscom report showed on Thursday. The AI adoption in four key sectors -- BFSI, consumer packaged goods (CPG) and retail, healthcare, and industrials/automotive -- can contribute 60 per cent of the total $ 500 billion opportunity, according to "AI Adoption Index" Nasscom, EY and Microsoft, EXL and Capgemini. Though the current rate of AI investments in India is growing at a compound annual growth rate (CAGR) of 30.8 per cent and poised to reach $881 million by 2023, it will still represent just 2.5 per cent of the total global AI investments of $340 billion. This creates a massive opportunity for Indian enterprises to accelerate investments and adoption of AI to drive equitable growth across sectors. For India to achieve its $1 trillion GDP goal by FY 2026-2027, it needs to have a strong correlation to the maturity of AI adoption, the report noted.


Woman, 22, who says gynecologist denied her of tube tying procedure speaks out

FOX News

Fox News Flash top headlines are here. Check out what's clicking on Foxnews.com. The woman who recently sparked a conversation on TikTok about tube tying, is speaking out after she claimed a gynecologist told her she couldn't have the procedure done because she could change her mind and meet "Mr. Olivia Downs, 22, turned to the video-sharing app on Wednesday, June 15, to relay what she says a female gynecologist told her during a tubal ligation consultation in Springfield, Massachusetts. Tubal ligation is a sterilization procedure that's done to prevent sperm from meeting an egg. Not all doctors are willing to carry out the procedure because it can sometimes be impossible or extremely difficult to reverse. It also comes with fertility risks if a woman does in fact change her mind. In her consultation reenactment, Downs said the doctor repeatedly told her, "no" because the sterilization procedure is "permanent" and instead was given a brochure for a copper intrauterine device (IUD), which has the same efficacy rate, but isn't what she asked for. Downs' TikTok video has surpassed 2.1 million views and has generated more than 444,900 likes and 6,900 comments. Olivia Downs, a 22-year-old student and orthodontic assistant from Massachusetts, shared a video about an OB/GYN appointment she had in June 2022, where a gynecologist reportedly denied her request for a tubal ligation procedure because she could change her mind and meet'Mr. Downs, who is a full-time neuroscience student and orthodontic assistant, told Fox News Digital that she never planned on going viral. "Honestly I was shocked this video went viral," Downs said. "I sort of posted it as a joke and didn't expect it to go anywhere, but it blew up." She continued, "I didn't realize how big of an issue this was or how many women have been in a similar situation and their frustrations, so it's been really eye-opening, honestly." Downs said people have voiced opposition to tubal ligation because they think that a woman could eventually regret having the procedure. Obstetrician-gynecologists are medical doctors who treat patients and advise them on various reproductive treatments and procedures, including tubal ligation, also known as tube tying. Downs said she's heard from critics who have called women "lazy and immature" or are "wasting our privilege" if they don't intend on having kids. She wants those critics to stop and listen to a woman's reasoning as to why they don't want to have children before getting defensive and resorting to name-calling, Downs explained. "Even if someone did change their minds after the procedure, there are always options like getting it reversed, IVF, or surrogacy," Downs continued. There are tons of children in our foster care system waiting to be adopted into a stable home, and it's such a wonderful alternative."


AI adoption to add $500 bn to India's GDP by 2025: Nasscom

#artificialintelligence

The adoption of artificial intelligence (AI) and data utilisation strategy can add $500 billion to India's GDP by 2025, a new Nasscom report showed on Thursday. The AI adoption in four key sectors -- BFSI, consumer packaged goods (CPG) and retail, healthcare, and industrials/automotive -- can contribute 60 per cent of the total $ 500 billion opportunity, according to "AI Adoption Index" Nasscom, EY and Microsoft, EXL and Capgemini. Though the current rate of AI investments in India is growing at a compound annual growth rate (CAGR) of 30.8 per cent and poised to reach $881 million by 2023, it will still represent just 2.5 per cent of the total global AI investments of $340 billion. This creates a massive opportunity for Indian enterprises to accelerate investments and adoption of AI to drive equitable growth across sectors. For India to achieve its $1 trillion GDP goal by FY 2026-2027, it needs to have a strong correlation to the maturity of AI adoption, the report noted.


Grid.ai rebrands as Lightning AI, raises $40M for AI dev tools – TechCrunch

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Lightning AI, the startup behind the open source PyTorch Lightning framework, today announced that it raised $40 million in a Series B round led by Coatue with participation from Index Ventures, Bain, the Chainsmokers' Mantis VC and First Minute Capital. CEO William Falcon told TechCrunch that the new money will be used to expand Lightning AI's 60-person team while supporting the community around PyTorch Lightning development. Lightning AI, formerly Grid.ai, is the culmination of work that began in 2018 at the New York University Computational Intelligence, Learning, Vision, and Robotics (NYU CILVR) Lab and Facebook AI Research (now Meta AI Research). After Falcon started developing PyTorch Lightning as an undergrad at Columbia in 2015, he founded Lightning AI in 2019 with Luis Capelo, the former head of data products at Forbes. While working on his PhD at NYU and Facebook AI Research, Falcon open sourced PyTorch Lightning and -- according to him -- the project quickly gained traction.


Turning the promise of AI into a reality for everyone and every industry

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We are excited to bring Transform 2022 back in-person July 19 and virtually July 20 - 28. Join AI and data leaders for insightful talks and exciting networking opportunities. Artificial intelligence (AI) has come a long way in the past few years. But for AI to truly fulfill its promise, it needs to do one more thing. It needs to be easy to use. This is just as important as all the computational and technical components that make AI happen in the first place.