The CEO behind the company that created ChatGPT believes artificial intelligence technology will reshape society as we know it. He believes it comes with real dangers, but can also be "the greatest technology humanity has yet developed" to drastically improve our lives. "We've got to be careful here," said Sam Altman, CEO of OpenAI. "I think people should be happy that we are a little bit scared of this." Altman sat down for an exclusive interview with ABC News' chief business, technology and economics correspondent Rebecca Jarvis to talk about the rollout of GPT-4 -- the latest iteration of the AI language model.

Russia has conferred state awards on the two fighter pilots involved in the downing of a US surveillance drone that crashed into the Black Sea, the Russian Defence Ministry said, while United States officials announced that its spy flights in the region have resumed. Presenting the awards on Friday to the Su-27 jet fighter pilots, Russia's Defence Minister Sergei Shoigu lauded their achievement in preventing the drone from flying into an area near Crimea to which Moscow has banned access. "The drone flew with its transponders off, violating the boundaries of the area of the temporary airspace usage regime established for the special military operation [and] communicated to all users of international airspace," Russia's defence ministry said in a statement, according to The Moscow Times. Pro-Kremlin political analyst Sergei Markov said the awards for the pilots were "a clear sign that Russia will keep downing" US drones. "This decision will receive a strong support from the Russian society that wants the government to toughen its policy," Markov wrote in a commentary. Russia's presentation of the awards comes a day after the US military released a declassified 42-second video clip showing the Russian Su-27 fighter jets intercepting the drone and making close passes while dumping fuel in an apparent bid to damage the drone's optical and other hi-tech instruments.

Data Assimilation (DA) and Uncertainty quantification (UQ) are extensively used in analysing and reducing error propagation in high-dimensional spatial-temporal dynamics. Typical applications span from computational fluid dynamics (CFD) to geoscience and climate systems. Recently, much effort has been given in combining DA, UQ and machine learning (ML) techniques. These research efforts seek to address some critical challenges in high-dimensional dynamical systems, including but not limited to dynamical system identification, reduced order surrogate modelling, error covariance specification and model error correction. A large number of developed techniques and methodologies exhibit a broad applicability across numerous domains, resulting in the necessity for a comprehensive guide. This paper provides the first overview of the state-of-the-art researches in this interdisciplinary field, covering a wide range of applications. This review aims at ML scientists who attempt to apply DA and UQ techniques to improve the accuracy and the interpretability of their models, but also at DA and UQ experts who intend to integrate cutting-edge ML approaches to their systems. Therefore, this article has a special focus on how ML methods can overcome the existing limits of DA and UQ, and vice versa. Some exciting perspectives of this rapidly developing research field are also discussed.

A computer vision system using low-resolution image sensors can provide intelligent services (e.g., activity recognition) but preserve unnecessary visual privacy information from the hardware level. However, preserving visual privacy and enabling accurate machine recognition have adversarial needs on image resolution. Modeling the trade-off of privacy preservation and machine recognition performance can guide future privacy-preserving computer vision systems using low-resolution image sensors. In this paper, using the at-home activity of daily livings (ADLs) as the scenario, we first obtained the most important visual privacy features through a user survey. Then we quantified and analyzed the effects of image resolution on human and machine recognition performance in activity recognition and privacy awareness tasks. We also investigated how modern image super-resolution techniques influence these effects. Based on the results, we proposed a method for modeling the trade-off of privacy preservation and activity recognition on low-resolution images.

Data-driven algorithms are only as good as the data they work with, while data sets, especially social data, often fail to represent minorities adequately. Representation Bias in data can happen due to various reasons ranging from historical discrimination to selection and sampling biases in the data acquisition and preparation methods. Given that "bias in, bias out", one cannot expect AI-based solutions to have equitable outcomes for societal applications, without addressing issues such as representation bias. While there has been extensive study of fairness in machine learning models, including several review papers, bias in the data has been less studied. This paper reviews the literature on identifying and resolving representation bias as a feature of a data set, independent of how consumed later. The scope of this survey is bounded to structured (tabular) and unstructured (e.g., image, text, graph) data. It presents taxonomies to categorize the studied techniques based on multiple design dimensions and provides a side-by-side comparison of their properties. There is still a long way to fully address representation bias issues in data. The authors hope that this survey motivates researchers to approach these challenges in the future by observing existing work within their respective domains.

Fox News contributor Jonathan Turley sounds off on the latest developments on'The Story.' Hunter Biden's countersuit against the computer shopkeeper who turned over a laptop belonging to the first son to authorities and members of the press is "one of the weirdest filings I have read in some time," one legal scholar says. In his lawsuit Biden claims John Paul Mac Isaac illegally distributed his personal data and alleges he invaded his privacy. Isaac has said a man he believed to be Hunter Biden did not return after the 90-day policy window to retrieve his damaged laptop. Biden's suit reportedly claims Isaac violated a Delaware law prohibiting dissemination or exploitation of property within one year's time. George Washington University Law professor and Fox News contributor Jonathan Turley said Friday the suit is "like Alice in Wonderland." "It gets curiouser and curiouser because this is one of the weirdest filings I have read in some time because [Hunter is] telling the court this may or may not be my laptop and these files may or may not be my files, but I am egregiously injured by the invasion of my privacy," Turley explained on "The Story with Martha MacCallum."

Ganesh Gopalan, chief executive officer of Indian voice biometrics firm Gnani.ai will be the country's representative at the Global Partnership on Artificial Intelligence (GPAI). In an announcement, Gnani.ai said its CEO will be part of the multistakeholder collaboration working to bridge the gap between theory and practice in the field of AI by enhancing innovative research and carrying out applied initiatives on key AI-related priorities. "It is a privilege to be invited to join GPAI and participate in the creation of ethical AI solutions that can positively impact society. At Gnani.ai, our goal is to create AI that is transparent, ethical, and inclusive and I am excited to exchange knowledge with other experts in the field and contribute our own insights," says Gopalan. The Gnani.ai executive also expressed gratitude to India's Minister of State for Electronics and Information Technology Shri Rajeev Chandrasekhar for his motivation.

Don't miss out on ET Prime stories! Get your daily dose of business updates on WhatsApp. The Reserve Bank of India (RBI) is monitoring developments related to Credit Suisse, though the Swiss lender's limited size and scope in the country means that any major impact is unlikely, said people familiar with the matter. Local bond traders said the risk of contagion is negligible. Bankers said Credit Suisse India will have enough capital.

Anxiety over an artificial intelligence tool called ChatGPT is spreading across a wide range of sectors, from education to business to cybersecurity circles. Numerous articles have shown ChatGPT's efficiency in creating phishing emails, as well as passing medical and business school tests. Its ability to write, speak, and answer queries across a wide range of subjects as competently as many humans do, as well as its ability to find vulnerabilities in computer systems, has raised legitimate concerns over how it may be used to create effective phishing campaigns on a large scale. While today it's a toy, a parlor trick that people take out to show how much AI has improved, businesses and government institutions should be worried about what's going to happen in two to five years, as AI models continue to improve and bad actors take advantage of what it can do. Organizations need to take steps now to strengthen their cyber defenses, against both current threats and what's lurking around the corner.

Rep. Nick LaLota, R-N.Y., reacts to new video showing a Russian jet hitting a U.S. drone and weighs in on the border crisis. EXCLUSIVE: Several Republican senators are calling on Congress to exercise its oversight authority after a Russian fighter jet downed a U.S. drone over international waters earlier this week – an incident that has many worried about more direct conflict between the two superpowers as the Ukraine war enters its second year. "We need a hearing on it. We've asked the Pentagon for hearing, of course, they're probably a little bit busy right now," Sen. Tommy Tuberville, R-Ala., a member of the Armed Services Committee, told Fox News Digital this week. When asked if he was concerned about Russian officials' announcement that Moscow will try to retrieve the debris, Tuberville said, "Yeah, we should all be."