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AI’s Trust Problem

By Business, IT/Digital

As AI becomes more powerful, it faces a major trust problem.

This article outlines 12 leading concerns: disinformation, safety and security, the black box problem, ethical concerns, bias, instability, hallucinations in LLMs, unknown unknowns, potential job losses and social inequalities, environmental impact, industry concentration, and state overreach.

Each of these issues is complex — and not easy to solve. But there is one consistent approach to addressing the trust gap: training, empowering, and including humans to manage AI tools.


Charities regulator zeroes in on cyber risk

By Business, IT/Digital, Operations

The Australian Charities and Not-for-Profits Commission (ACNC) will prioritise the management of cyber security threats in its compliance and enforcement strategy for the upcoming year, according to ACNC commissioner Sue Woodward. She highlighted cyber security as a significant governance risk for charities and outlined three key questions the regulator will consider regarding charities’ cyber security challenges. Woodward’s remarks follow notable cyber security breaches in the charity sector in 2023, including a ransomware attack affecting numerous Australian and New Zealand charities.

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Which AI should I use? Superpowers and the State of Play

By Business, IT/Digital

In the evolving landscape of AI, three dominant GPT-4 class models—GPT-4, Anthropic’s Claude 3 Opus, and Google’s Gemini Advanced—now power their own chatbots, each with distinct personalities and strengths. They each share multimodal capabilities and excel in offering advice across various scenarios, yet lack detailed instructions, challenging users to explore their full potential.

As the AI landscape continues to evolve, embracing and understanding these models’ capabilities will be key to leveraging their potential while anticipating forthcoming innovations in the field.

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Driving innovation with generative AI

By Business, IT/Digital

Experts delve into the profound impact of generative AI on driving innovation across various industries. They discuss how this technology enables the creation of novel solutions, from generating artwork and music to designing products and optimising processes.

By harnessing the power of generative AI, businesses can unlock new possibilities and push the boundaries of creativity, paving the way for transformative advancements in the digital age.

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AI is the Cyberattacker’s Sharpened Sword

By Business, IT/Digital

Cybercriminals have discovered AI’s power, transforming it into a weapon capable of launching cyberattacks. From phishing scams to deepfakes, here’s how AI is reshaping the battlefield.

AI-Enhanced Phishing: Phishing campaigns have long been a staple of cybercriminals, but AI takes them to a new level. AI-powered tools can analyse massive amounts of data on potential targets, writing convincing personalised emails that are incredibly difficult to differentiate from legitimate communications. Generative language models like ChatGPT can produce near-flawless text, persuading victims to click malicious links or download malware.

AI-Enhanced Malware: AI-powered malware can adapt and evolve based on its environment, making it more challenging to detect and mitigate. Machine learning algorithms enable malware to identify vulnerabilities in software systems and launch targeted attacks.

Deepfakes:  Deepfakes, realistic video and audio fabrications powered by AI, represent a potent threat. Attackers can manipulate videos to portray business leaders making damaging statements, eroding trust in companies or manipulating stock prices. They can mimic familiar voices for CEO fraud scams, where the victim is pressured into wiring funds to a fraudulent account.

Automated Vulnerability Scanning: Hackers used to rely on manual processes to hunt for security flaws, but AI-powered tools can now scan networks at astonishing speeds, finding and cataloguing vulnerabilities with machine-like efficiency. This lets attackers strike before organisations have a chance to patch their systems.


The Need for AI-Powered Defence

While AI can be a formidable weapon in the hands of cybercriminals, it also holds the key to stronger defences. Here is how we can use AI to protect ourselves from Cyberattacks.

Proactive Monitoring:  AI-driven systems can identify unusual patterns and behaviours that suggest a breach in progress, allowing for rapid response.

Automated Incident Response: Once threats are detected, AI-powered tools can help contain breaches and remediate damage, minimising the attacker’s impact.

Conduct Regular Security Assessments: Regular security assessments, including penetration testing and vulnerability scanning, help identify weaknesses in systems and networks. By proactively identifying vulnerabilities, organisations can patch them before cybercriminals exploit them.

Train Employees on Cybersecurity Best Practices: Human error remains a significant factor in cyberattacks. Organisations should provide regular training to employees on identifying phishing emails, creating strong passwords, and following best practices for cybersecurity. This helps create a security-aware culture within the organisation.

Collaborate with Cybersecurity Experts: Staying updated on the latest threats and defences is crucial. Organisations should collaborate with cybersecurity experts, attend industry conferences, and work with trusted partners to develop customised cybersecurity solutions.


Embracing AI for a Safer Future

AI isn’t going away, and cybercriminals will continuously explore its malicious potential. The best defence is to stay ahead by proactively and intelligently adopting the same AI tools to thwart attacks. This means moving away from purely reactive solutions and harnessing the power of AI to analyse vulnerabilities, identify threats, and automate threat response.


Article written by Mani Padisetti | Digital Armour


Report a technology wake-up call for NFP sector

By Business, IT/Digital

The 2023 Digital Technology in the Not-for-Profit Sector report reveals that the Australian not-for-profit (NFP) sector is inadequately prepared to navigate the challenges of a rapidly evolving digital landscape. With a focus on over 1,000 NFP organizations, the survey by Infoxchange highlights a lack of technological proficiency, leaving charities ill-equipped to meet the increasing demand for their services. Persistent challenges include funding for digital technology, staff capacity, and access to skilled technical resources. The report also flags concerns about cybersecurity preparedness, as only a small percentage of organizations have information security policies or provide regular cybersecurity training. While there is a recognition of the value of online presence and emerging technologies, such as AI and virtual reality, the sector faces hurdles in effectively leveraging digital tools to measure impact and outcomes. The report emphasizes the need for improved evaluation and data analysis, urging NFPs to enhance their digital capabilities to address evolving threats and secure funding in an environment of budget constraints.

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Reskilling in the Age of AI

By Business, IT/Digital, Personal

In the coming decades, as the pace of technological change continues to increase, millions of workers may need to be not just upskilled but reskilled—a profoundly complex societal challenge that will sometimes require workers to both acquire new skills and change occupations entirely. Companies have a critical role to play in addressing this challenge.

Companies will need to understand and embrace these shifts if they hope to succeed in adapting dynamically to the rapidly evolving new era of automation and AI.

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Fear factor: Overcoming human barriers to innovation

By Business, IT/Digital

This McKinsey article delves into the human barriers hindering innovation, including fears of failure, criticism, and concerns about career repercussions; and provides a focus on strategies for establishing a culture that addresses these innate concerns, ultimately fostering an environment conducive to innovation.

The authors advocate for understanding and mitigating these fears to encourage individuals to embrace innovation fully and provides insights and actionable steps for creating an innovation-friendly workplace.

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Navigating Generative AI as an Older Worker​

By Business, IT/Digital

Generative AI has significantly impacted the professional landscape, with McKinsey’s data projecting a potential 30% task automation rate in the U.S. economy by 2030. This poses concerns for seasoned professionals who’ve honed skills over decades. Older workers are particularly exposed to AI, as it excels in tasks that demand substantial education and experience. However, while AI may seem daunting, senior professionals without extensive tech backgrounds can still thrive in this AI-driven era. 

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Is AI going to take your job?​

By Business, IT/Digital

Generative AI is currently more about augmenting the work of knowledge workers than automating it, according to recent research conducted in collaboration between Harvard, Wharton, MIT, and Boston Consulting Group. 

This suggests that knowledge workers should invest time in learning how to effectively use generative AI to enhance their work, but with a caveat to remain vigilant about potential AI errors or hallucinations.

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