In artificial intelligence (AI) news this week, Sen. Mitt Romney’s initiative for greater federal oversight of AI faces challenges, game developer RiseAngle leverages AI to fine-tune its workflows and the NSA warns of AI cybersecurity threats.
Experts cite challenges to proposed federal AI oversight
Senator Mitt Romney’s proposal for increased federal surveillance of artificial intelligence (AI) faces obstacles. Experts highlight the challenges posed by rapidly evolving technology and its diverse uses, which make effective regulation difficult.
Observers acknowledge the potential dangers of AI, but point to the complexity of determining which systems require strict oversight. They advocate a balanced approach that promotes technological innovation while managing risks.
Daniel Christman, co-founder of AI cybersecurity company Cranium, highlighted the vulnerability of existing protections for large language models (LLMs). “Red teams and bad actors have repeatedly exploited these vulnerabilities, leading to the creation and distribution of safety and security threats,” Christman said in an interview with PYMNTS. He cited instances of MLMs being manipulated to produce instructions for making dangerous devices.
Currently, the United States has minimal federal laws directly targeting AI. Conversely, the European Parliament recently passed the Artificial Intelligence Act, establishing the world’s first comprehensive legal framework for AI. This law introduces consistent European regulations on data quality, transparency, human oversight and accountability.
RiseAngle uses AI to improve game development efficiency
Game developer RiseAngle is now using artificial intelligence to streamline and improve its creative processes, aligning with the growing studio trend. integrating AI into game design.
RiseAngle recently launched its AI Game Creator Suite, a collection of tools designed to simplify game development using AI. Its AI Match 3 Game Creator allows users to quickly create custom games without the need for technical expertise or significant resources.
Kaveh Vahdat, founder of RiseAngle, told PYMNTS: “Our long-term goal is to demystify the complex game development process, allowing everyone to create unique, personalized games effortlessly. Although there are fewer than 20 million game creators, we aim to enable 3 billion players to become game creators.
The gaming industry is booming, with 2023 revenues reaching $184 billion. Despite the release of hundreds of new games each year, the cost of game development remains high. Projected budgets for major games are expected to soon exceed $200 million, a significant increase from the previous generation’s $50 million to $150 million and the $60 million in 2014.
RiseAngle is one of many companies leveraging generative AI to aid game development. Likewise, as PYMNTS reported, Jabali has used advanced generative AI technologies, including renowned open source models and proprietary solutions, to facilitate content creation in video games. It also leverages established cloud computing and gaming technologies to power its AI-based gaming engine.
NSA highlights AI cybersecurity threats
The National Security Agency (NSA) has warned of cybersecurity vulnerabilities associated with artificial intelligence (AI) systems and new guidelines to help businesses improve their AI security measures.
As AI becomes more integral to business operations, experts warn that these systems are increasingly vulnerable to cyberattacks. The NSA Cybersecurity Fact Sheet highlights the unique security challenges posed by AI and outlines strategies for businesses to strengthen their defenses.
“AI offers unprecedented opportunities but also opens the door to malicious activity,” said Dave Luber, NSA’s director of cybersecurity, in a press release Monday (April 15). “The NSA is well equipped to provide cybersecurity advice, AI expertise, and in-depth threat analysis. »
The report recommends that organizations employing AI systems implement robust security protocols to protect sensitive information and prevent misuse. Suggested essential security measures include regular compromise assessments, hardening IT deployment environments, implementing strict access controls, improving logging and monitoring, and restricting access to model weights.
Jon Clay, vice president of Threat Intelligence at cybersecurity firm Trend Micro, expressed his concerns to PYMNTS, saying: “AI, with its complexity and ability to manage vast volumes of data, is inherently vulnerable to hacking . Like any software, AI systems can contain exploitable vulnerabilities.
AI-powered apps improve team coordination
Artificial intelligence (AI) chatbots, which already engage users in conversations, are now poised to facilitate teamwork. Snap, introduced by Swit Technologies, is part of a new wave of collaboration tools leverage generative AI to optimize project management, communication and workflows. These tools integrate features such as meeting schedulers, real-time document collaboration, virtual assistants, and adaptive workflow management systems.
“AI is particularly effective at speeding up or automating aspects of collaboration that are often laborious or error-prone,” Darrin Murriner, CEO of Cloverleaf.me, told PYMNTS. This includes improving document collaboration, content creation, communication and information aggregation.
A PYMNTS report last year examined how generative AI technologies, such as OpenAI’s ChatGPT, could increase productivity. While this may have job implications, Jordan Zaslav, director of operations at Axios headquarters, is optimistic about AI’s potential to improve collaboration efforts.
