There is no crystal ball that can help us predict what tomorrow will bring, but it is possible, based on current trends, to know what professional skills will be needed in the not too distant future. Technology experts are already noting the challenges posed by artificial intelligence (AI). We should expect AI to play an even bigger role in 2024 and beyond.
AI expertise could enable companies to optimize costs, create new technologies and scale operations, said Shawn Loveland, chief operating officer at Resecurity.
“In the context of certain areas such as cyber securitythese skills are now driving the industry as well as the job market,” Loveland told ClearanceJobs.
AI will continue to disrupt the industry, which could lead to even greater demand for new technology skills this year.
Ethical AI Governance – More than just one skill
Technology experts are increasingly suggesting that more emphasis needs to be placed on establishing ethical AI governance in order to better train an AI model. By integrating a wide range of datasets and algorithms, the results can produce more balanced and accurate insights, fostering unbiased models capable of producing accurate results for businesses.
The goal is to prevent algorithms from showing favoritism or discrimination, which helps ensure fairness and trust in AI.
“Ethical governance of AI will be a serious challenge for our society in the years to come,” warned Cyber Threat Corey Sinclair. intelligence analyst within the cybersecurity research company Horizon3.ai.
Sinclair told ClearanceJobs that meeting this challenge requires a diverse set of skills.
“As AI continues to advance, we must cultivate deep expertise to understand its evolving capabilities and enable us to create rules and regulations in a timely manner,” Sinclair noted. “In addition, we will need professionals who can strike the right balance between protecting the intellectual property inherent in AI models and respecting civil liberties, such as freedom of expression, for end users.”
As noted, this is more than just a skill: ethical AI governance will be necessary as organizations and societies grapple with the complex challenges posed by artificial intelligence. AI ethical governance should encompass a broad range of skill and knowledge areas, including understanding of AI and machine learning technologies, ethics, law, policy development and stakeholder engagement.
“Professionals in this field are responsible for ensuring that AI systems are designed, developed and deployed in a manner that respects ethical principles, complies with regulations and aligns with societal values,” explained Mark Campbell, senior director at cybersecurity provider Cigent.
Multidisciplinary approach
Ethical governance of AI will also require a multidisciplinary approach, drawing on expertise from computer science, ethics, law, social sciences, etc. Such an interdisciplinary skill set will be necessary to enable professionals to evaluate AI technologies from multiple perspectives, ensuring a holistic approach to ethical considerations. These individuals must also be able to develop and implement governance frameworks, policies and practices that promote the ethical development of AI.
“This involves a thorough understanding of the ethical implications of AI technologies, including issues of privacy, fairness, accountability, transparency and risk of bias,” Campbell told ClearanceJobs. “As AI becomes increasingly integrated into various industries such as healthcare, finance, transportation and law enforcementthe demand for individuals who can navigate these ethical landscapes and guide organizations in responsible use of AI is becoming increasingly critical.
Furthermore, ethical governance of AI will not be limited to Silicon Valley and the domain of “Big Tech”.
“The demand for knowledge regarding ethical governance is not limited to technology companies, but extends to all sectors adopting AI, including healthcare, finance and manufacturing,” suggested Troy Batterberry , CEO and founder of internal risk and data management company EchoMark, who told ClearanceJobs: “Professionals who can bridge the gap between technology and ethical considerations will play a central role in the future of integration and deployment responsible for AI. »
Quantum computing – still coming
It’s been a buzzword for years now, and some researchers argue that it’s an impossible problem to solve, while others suggest Quantum computing is literally the next big thing. Billions have been invested in its development, as it promises to offer the ability to perform calculations several orders of magnitude faster than traditional binary computing.
“Quantum computing is currently like the Wild West of technology: it is uncharted territory but with unlimited potential. Mastering these skills not only opens up huge opportunities for developers, but is also a big step at the forefront of an emerging technology that will change many things in the industry,” said Nicolas Baca-Storni , Chief Revenue Officer at InclusionCloud.
“Thanks to quantum computing, AI algorithms can process and analyze huge amounts of data much more quickly and efficiently than ever before, making AI smarter and capable of performing more complex tasks,” said Baca-Storni at ClearancesJobs.
Skills to Counter Deepfakes
It used to be said that “seeing is believing,” but in the age of deepfakes, we can no longer believe our eyes – and the technology to create deepfakes will continually improve. For these reasons, Baca-Storni also suggested that deepfake detection skills will be increasingly in demand.
“Every day we hear more and more cases like this,” Baca-Storni continued. “That’s why proactive defense and training to avoid these types of threats should be in every company playbook. If you don’t act, these threats can erode your brand reputation, undermine customer trust, and of course, lead to financial losses. »
Given the growing threat of deepfake technologies, companies will need to deploy advanced AI tools as part of their defense strategy.
“These tools offer proactive measures to detect and combat deepfakes before they cause damage,” Baca-Storni said. “By leveraging cutting-edge AI algorithms, businesses can authenticate media content, identify anomalies indicative of deepfake manipulation, and quickly respond to potential threats.”
