How do some experts see the future of AI in 2024?

“In 2024, we will see AI impacting sustainability in two opposite ways,” Albertoli said. “On the one hand, the huge energy consumption at the data center level required to power all the emerging AI/GenAI applications and high-power computing will have a negative impact on the environment, especially as the power grid becomes more stressed.”

“And, on the other hand, AI will also be increasingly used to solve some of the most challenging issues with the environment, including algorithms that can empower organizations to reduce their carbon footprint by optimizing operations Is,” says Albertolli. “In the energy industry, this includes things like predictive maintenance and AI to increase the efficiency of renewable energy sources.”

Global challenges

Sian John, Chief Technology Officer, NCC Group, says AI offers a significant opportunity globally to improve the way we live and work.

“AI is being deployed in ways that impact all areas of our lives, which come with significant risks if not properly controlled,” he said. “AI is a global challenge that requires a global response, and while AI offers infinite opportunities, we must ensure that the adoption of AI practices is done responsibly and with cybersecurity in mind.”

“Major regulatory divergence between major nations could be counterproductive and ultimately lead to poor safety and security outcomes for all,” says John.

“The recent Bletchley announcement, along with domestic steps like the G7’s Hiroshima process and the Whitehouse executive order, really represent important steps toward securing AI on a global scale,” John said. “We are particularly excited to see the commitments of the Bletchley signatories to ensure that participants will gather again in South Korea and France next year for continued international leadership.”

John says that by doing this, it will be important to set clear and measurable goals against which leaders can measure progress.

“A fundamental research challenge is to address energy use in the face of energy crisis and climate change; It is estimated that computing power alone will account for 21% of the world’s total energy use by 2030, yet technologies in AI, cloud and quantum are inherently power hungry,” John said.

He added, “Globally, we need to be incredibly conscious and proactive in developing safe, energy-efficient and sustainable technological solutions for the systems we will create and use in the coming decade.”

Security

Joseph Thacker, principal AI engineer and security researcher at AppOmni, says there will be an increased focus on AI security in 2024.

“The use of AI for security will also increase,” Thakar said. “There will be many startups, potentially hundreds, focused on AI security, and every major application will include AI features, a shift that will inevitably introduce new vulnerabilities.”

“Startups will appear for multiple domains,” Thacker said. “There will be AI SOC analysts who handle alert triage, AI ethical hackers tasked with uncovering vulnerabilities, AI code review tools able to identify software bugs and suggest automated fixes, and to increase phishing attempts. There will be AI social engineering toolkits designed, just to name a few.”

“Allowing AI systems to make decisions is convenient, and that means many products will include it without adequate safety testing,” Thacker said. “We’ll soon see where this really goes.”

Business

Chris Ainley, chief scientist at NCC Group, takes a different view and says commerce will be the most important AI trend for 2024.

Ainley says 2023 saw significant growth in the use of large language models (LLMs) like ChatGPT and Bard and Bing Chat, which have now become household names.

“Organizations have struggled to maintain the difficult balance of enabling employees to use these systems while keeping their sensitive information secure,” Ainley said. “Commercial offerings such as ChatGPIT Enterprise, GitHub Copilot Enterprise, and Amazon Queue are specifically targeted to enable enterprises to securely leverage this sensitive information through language models while maintaining security controls.”

Ainley says that in 2024, we can expect more businesses to leverage enterprise-oriented LLMs to improve productivity, increase efficiency, and provide new business capabilities and applications.

“Businesses are seeing that there are real financial benefits to be gained – perhaps not the science fiction style efficiencies that some people predicted, but certainly practical, measurable improvements in productivity,” Ainley said. “Now that these benefits are becoming clear – in financial terms – investment by companies in these systems will increase.”

Enley believes that we will see continued growth in the use of LLMs and AI assistants in business. He said, “By the end of 2024, using AI assistants to help draft documentation, summarize documents or reformat data will be as natural as using a spelling or grammar checker today “

“Without trust you can’t have commerce, and without security you can’t have trust. The business benefits of AI come with risks,” Ainley said. “Integrating sensitive information with LLM will expose it to attackers in new ways; security controls that previously apply to (say) databases, apply in the same way to free-text training courses or retrieval augmented generation systems “Making sensitive data more available and useful also exposes it.”

Ainley says the increasing use of AI as a security control also presents a challenge. He added, “The efficacy of such solutions demands robust testing, evaluation, and assurance, lest we come to rely too heavily on automated decision making in security governance that we consider optimal but that leave our systems more vulnerable.” Let’s make it.”

Enterprise

Varun Badhwar, The CEO and co-founder of application security startup Andor Labs predicts where AI will go from here.

“Right now, the world is at the intersection of AI and enterprise control,” Badhwar said. “Malicious actors will continue to use AI and related tools to accelerate exploits and intrusions, and they will target large GenAI platform providers and widely used AI OSS projects/components as part of broader software supply chain attacks “Will also look to target.”

Badhwar says that in the emerging technology landscape, the parallels between the current surge in adoption of cloud services and AI implementation are striking and cautionary.

“Just as organizations eagerly adopted cloud solutions for their transformative potential in innovation, the rush to adopt outpaced the development of robust security controls and compliance tools,” Badhwar said. “As a result, this created vulnerabilities that malicious actors were quick to exploit, leaving enterprises with unexpected challenges.”

“As we see a similar trajectory in the adoption of AI technologies, it becomes imperative to draw lessons from the past and proactively address emerging concerns,” he said. “The rapid integration of AI into various aspects of business operations is undeniably transformative, but the lack of comprehensive visibility and enterprise controls raises red flags.”

Badhwar says businesses should prioritize the development of strong governance frameworks and visibility tools. “The focus must move beyond just the integration of AI solutions and include a holistic approach that addresses security, compliance and ethical considerations,” he said.

“Learning from past experiences, organizations should strive to stay ahead of potential challenges, ensuring that innovation is not compromised due to vulnerabilities,” Badhwar said.

Badhwar says, “In an era where data is a prized asset, and AI is a powerful catalyst for business growth, the responsibility lies with industry leaders, policymakers and technology providers to work together to create a foundation for responsible AI adoption.” Do it.” “By establishing comprehensive controls and promoting transparency, we can unlock AI’s full potential while protecting the interests of organizations and their stakeholders.”