Tuesday, 5 November 2024

AI Technology Adoption – Is it a one-way street?


This article explores the growing impact of AI technologies on our lives, highlighting both their potential benefits and serious risks in the realm of cybersecurity. It urges readers and decision-makers to critically evaluate the consequences of AI adoption and consider its implications on security, governance, and society while keeping all categories of people at the centre of such decision-making.

Scratching the AI Surface: Will It Hurt or Help More?

The headline "See: Claude 3.5 Sonnet Can Control Your Computer" caught my attention, and as I read through the article, a flood of questions and concerns emerged. It’s another example of an AI application that has the ability to take control of your computer, performing tasks like an actual user. While such developments might bring benefits, the potential for misuse is troubling. Despite assurances about built-in safeguards, this kind of technology creates new opportunities for crime and harm.

We're still in the early stages of AI application development, and the road ahead promises even more advanced and complex tools—tools that could erode trust and, ultimately, threaten the social order. We may face a growing need to invest in protective measures and redress systems. But even then, businesses, governments, and individuals might still find themselves struggling to keep up, especially when these resources might drain funding from more pressing needs. Technology and online systems are already under constant attack, and AI only adds fuel to the fire. The evidence is clear: cybercriminals are exploiting vulnerabilities faster than ever. This isn't just a Luddite fear—it's rooted in the reality of our rapidly changing digital world. (Read more on this trend: Threat Actors Are Exploiting Vulnerabilities Faster Than Ever).

Even at a consumer level, the threats are mounting. We’re already dealing with the dangers of malware and viruses, but now there are deepfakes (audio and video), and the growing issue of spam attacks fuelled by data leaks and AI-driven online behaviour tracking. Scams are increasingly sophisticated, with attempts to lure us into clicking on dubious links or providing sensitive data. (See: Bengaluru residents lose Rs 95 lakh after trusting deepfake videos of Mukesh Ambani and Narayana Murthy). Here are some of the most common crimes we face online: (Chart: The Most Common Types of Cyber Crime | Statista)

Cyberattacks: A Growing Threat

For many, the idea of a cyberattack conjures images of data breaches or financial fraud. But these attacks extend far beyond banking. Critical sectors such as healthcare, utilities, manufacturing, and public services are increasingly targeted.

Take a look at some notable cyberattacks outside the finance industry:

With AI tools making inroads into industries like healthcare and manufacturing, a targeted attack could trigger serious consequences. Imagine a rogue AI being used to trigger false diagnoses in a hospital or an autonomous manufacturing system overridden to deliberately malfunction, resulting in dangerous products reaching consumers. These risks, often dramatized in films as science fiction, are now inching closer to reality. We once trusted that businesses and authorities would safeguard us, but can we still place that same trust in them?

Cybersecurity: Can We Rely on It?

Given the escalating risks, businesses are pouring resources into cybersecurity. The cybersecurity industry is growing rapidly, with some estimates suggesting a 14% annual growth rate that will continue for the rest of the decade. However, this growth comes with its own challenges. One of the most pressing is the stark inequality in cybersecurity resilience between rich and poor nations, as well as between large, well-funded organizations and small or developing ones. A report by the World Economic Forum highlights this gap:

"The distance between organizations that are cyber resilient enough to thrive and those that are fighting to survive is widening at an alarming rate. The least capable organizations are perpetually unable to keep up with the curve, falling further behind and threatening the integrity of the entire ecosystem."

Moreover, by one estimate, over 82% of small businesses had at least one successful cyber-attack in 2021. (See: 35 Alarming Small Business Cybersecurity Statistics for 2024 | StrongDM).

This growing divide spells trouble not just for businesses, but for consumers as well. As the demand for cybersecurity professionals increases, there is a notable shortage of skilled workers. Cybersecurity companies are struggling to find qualified professionals, which creates additional stress on the existing workforce. The pressure of constantly evolving threats leads to burnout, with a high turnover rate among professionals. (See: 24% of Cybersecurity Leaders Are Ready to Quit Jobs: Here’s Why - Techopedia). The skills gap is a significant challenge, but it also presents opportunities for those entering the field.

Explore the demand and challenges:

At the same time, generative AI and other advanced technologies are being leveraged to improve cybersecurity capabilities. AI can speed up software development, automate vulnerability testing, and even help detect breaches faster. However, its potential to also fuel cybercrime has raised concerns. (See: How AI Is Shaping the Future of Cybercrime). As the speed of technological advancement continues to outpace the development of protective measures, there is a growing fear that rogue AI could exploit system weaknesses before cybersecurity systems can adapt. This raises important questions: can we truly safeguard AI-driven systems, and who is responsible when they fail?

The Role of Governance

Governance frameworks for AI are emerging, with some governments introducing regulations to manage its development and deployment. However, many countries, particularly in the developing world, are lagging. The laws are in place, but enforcement is often weak, and there's a growing risk of exploitation by malicious actors who operate outside regulated environments. This creates a dangerous environment where technology might be used irresponsibly, putting consumers and citizens at risk.

What happens to those who use these technologies with malicious intent? Who is protecting the everyday person from these threats? (See: AI governance trends: How regulation, collaboration, and skills demand are shaping the industry | World Economic Forum).

The Big Picture: Who Bears the Burden of Responsibility?

As the battle between cybercriminals and cybersecurity experts intensifies, it's essential for us, as citizens, workers, and consumers, to question our increasing reliance on technology. At some point, we may need to set limits on its use. Drawing clear lines about where we allow technology to intervene is becoming one of the most important decisions we must collectively make.

Governments must take a proactive approach to engage in this conversation and make decisions from a strategic, long-term perspective. Unfortunately, with many governments struggling to keep up with the complexities of AI and cybersecurity, it’s unlikely these issues will be addressed without widespread public demand.

Until we can develop more secure systems—an effort that could take years—citizen education and awareness are crucial. As much as we focus on the benefits of technology, we must also devote equal attention to its vulnerabilities and potential harms. This means evaluating risks and lobbying for technology adoption that considers both the upside and the downside. Only by carefully weighing these factors can we make informed decisions about where and how to use AI.

It’s essential to involve a broad range of perspectives in this debate. We must consider the impact on all people, including the elderly, those with cognitive challenges, and communities in regions with limited resources. AI development cannot be driven by convenience and profit alone; it must prioritize people’s well-being. The metrics for AI adoption should not focus solely on efficiency or growth but should reflect democratic values and social responsibility. We need to create spaces where citizens, not just tech companies, have a voice in determining the direction of AI’s adoption. After all, technology is not an inevitable path in every domain; it must be navigated thoughtfully, through democratic processes, with ongoing review and adjustment.

Conclusion

In conclusion, we must educate ourselves on how these technologies will affect our work and lives and contribute meaningfully to conversations within our communities and workplaces. As AI continues to evolve, we need to consider how it impacts different groups of people—those who are less tech-savvy, the elderly, those with disabilities, and people in lower-income countries or under-resourced organizations. It's crucial that AI development puts people at its centre, not just the convenience of a few or the profits of tech companies.

Adoption and usage should not be the only goals; they certainly shouldn’t be the most important ones. We must have the ability to change course, to reverse or redirect AI adoption when necessary—not as dictated by capitalists or tech enthusiasts, but through collective decision-making by everyday people. Only through thoughtful evaluation, democratic consultation, and regular review can we ensure AI’s integration into society is beneficial and safe. When it comes to technology adoption, let’s make sure it’s not just a one-way street.


Final Notes

  • Consider how AI and other technologies are impacting your life, your work, and the society around you.
  • Who is influencing decisions on technology adoption in your area? Do you have a way to communicate your questions and concerns to them?
#artificialintelligence #AI #cybersecurity #technology 

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