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In the world of cybersecurity, making good choices is vital. According to Kirsty Paine, a Strategic Advisor in Technology and Innovation, common bad choices made by tech leaders include an over-focus on the latest trends and failing to see the bigger picture. Waiting for the perfect solution also hinders progress, as it can lead to a loss of capacity and an inability to respond effectively to threats.

Paine also highlights several other bad choices made in cybersecurity. These include not investing enough in the basics, failing to convey the value of cybersecurity choices, and using technical language that hinders understanding. She emphasizes the need for creativity and finding ways to address challenges, such as multi-factor authentication, without causing user frustration or resorting to risky workarounds.

Paine draws parallels between the current state of AI and IoT from years ago. She notes that like IoT devices, AI systems must prioritize security from the start rather than treating it as an afterthought. Paine references the UK government’s approach to IoT, where they established technical standards, a code of practice, and eventually legislation to ensure basic security principles were met. She suggests applying the same principles to AI to prevent vulnerabilities and attacks.

Regarding AI security, Paine emphasizes the importance of good software development practices, such as peer programming, testing, and access management. She explains that securing AI also involves ensuring the quality and trustworthiness of the data used for training the model. Paine mentions the potential dangers of poisoning attacks, where manipulated data can lead to incorrect results and serious consequences, such as self-driving cars accelerating to dangerous speeds.

Lastly, Paine distinguishes between security and ethics in AI. While security focuses on software development and data quality, ethics pertain to issues of bias and fairness. Teaching AI ethics involves setting boundaries and thresholds for acceptable behavior, which can vary depending on individual perspectives.

In conclusion, making good choices in cybersecurity and AI involves considering the bigger picture, prioritizing security from the start, and addressing ethical concerns. It requires a combination of technical expertise, creativity, and an understanding of the potential risks and consequences.

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