de.iterate’s Post

Does your organisation have an AI (Artificial Intelligence) policy? If the answer is no, it may be something you wish to reconsider. Here at Pensar IT we are being asked more and more about the role of AI and how we can support. Something we have been doing quite a bit of recently is writing AI policies on behalf of our clients. Here are just some of the reasons why an AI policy is important: 🔶 Clear rules help protect data privacy and make sure sensitive or private information doesn’t get leaked accidentally. 🔶 Sets out a list of approved AI tools for your organisation. 🔶 Establishes boundaries for how your organisation can use AI. 🔶 Creates a framework that ensures the safe, ethical, and responsible use of AI within your organisation. If this is something you don't already have (or perhaps needs updating), then do get in touch and we'd be happy to help. #AI #ArtificialIntelligence #Policy #AIPolicy #ITSupport #Protection

⚖️ EDPS Releases Guidelines on the Use of Generative AI & privacy for EU Institutions ⚖️ The EDPS (European Data Protection Supervisor) has just released comprehensive guidelines on generative AI and personal data protection for EU institutions, bodies, offices, and agencies (EUIs)! This greatly promotes the critical importance of data privacy in the context of artificial intelligence. If you're unfamiliar with the EDPS, it is the independent supervisory authority responsible for protecting personal data and privacy and promoting good practices within EU institutions and bodies. The guidelines emphasise data protection’s core principles with concrete examples to help anticipate risks, challenges, and opportunities in generative AI systems and tools. For clarity, the EDPS has not issued these guidelines as AI supervisor for EU institutions under the EU’s Artificial Intelligence Act, for which a separate strategy is being prepared. For more details, read the full guidelines: https://loom.ly/eX2p-Rk #DataProtection #AI #GenerativeAI #Privacy #EDPS #EUCompliance #Innovation #DataSecurity

The Council has approved the groundbreaking AI Act, establishing the first global rules for artificial intelligence. The legislation adopts a risk-based approach, imposing stricter regulations on AI systems with higher societal risks. The Act aims to promote safe and trustworthy AI across the EU, respect fundamental rights, and encourage AI innovation and investment. It classifies AI systems by risk, bans harmful AI practices like cognitive behavioral manipulation, and enforces transparency for high-risk AI systems. The law will be enforced by new governance bodies, with significant fines for non-compliance. The regulation takes effect two years after publication. #cybersecurity

Data is the fuel that powers AI systems. However, the use of large datasets raises concerns about data privacy and bias. 𝘒𝘦𝘺 𝘊𝘩𝘢𝘭𝘭𝘦𝘯𝘨𝘦𝘴: - 𝐒𝐞𝐧𝐬𝐢𝐭𝐢𝐯𝐞 𝐃𝐚𝐭𝐚: AI models often rely on sensitive personal data, which can be vulnerable to breaches and misuse. - 𝐀𝐥𝐠𝐨𝐫𝐢𝐭𝐡𝐦𝐢𝐜 𝐁𝐢𝐚𝐬: AI models can inherit biases present in the data they are trained on, leading to discriminatory outcomes. 𝘈𝘥𝘥𝘳𝘦𝘴𝘴𝘪𝘯𝘨 𝘋𝘢𝘵𝘢 𝘗𝘳𝘪𝘷𝘢𝘤𝘺 𝘢𝘯𝘥 𝘉𝘪𝘢𝘴: Data anonymization and pseudonymization: Techniques to protect sensitive data while preserving its utility. - 𝐅𝐚𝐢𝐫𝐧𝐞𝐬𝐬 𝐚𝐧𝐝 𝐚𝐜𝐜𝐨𝐮𝐧𝐭𝐚𝐛𝐢𝐥𝐢𝐭𝐲: Ensuring AI systems are developed and deployed in a fair and accountable manner. - 𝐑𝐞𝐠𝐮𝐥𝐚𝐫 𝐚𝐮𝐝𝐢𝐭𝐬 𝐚𝐧𝐝 𝐞𝐯𝐚𝐥𝐮𝐚𝐭𝐢𝐨𝐧𝐬: Continuously monitoring and assessing AI systems for bias and addressing any issues. By prioritizing data privacy and mitigating bias, we can ensure that AI systems are used ethically and responsibly. #HyperICT #Finland #Suomi #AIsecurity #dataprivacy #bias #ethicalAI

With challenges such as insufficient datasets and the risk of training ML systems with copyrighted data, CIOs today navigate complex terrains of privacy, security, compliance, and anonymization. CIOs must go beyond regulatory vigilance and collaboration to instill trust in AI. #CIO #AI #DataPrivacy #Compliance

Does your organisation have an AI (Artificial Intelligence) policy? If the answer is no, it may be something you wish to reconsider. Here at Pensar IT we are being asked more and more about the role of AI and how we can support. Something we have been doing quite a bit of recently is writing AI policies on behalf of our clients. Here are just some of the reasons why an AI policy is important: 🔶 Clear rules help protect data privacy and make sure sensitive or private information doesn’t get leaked accidentally. 🔶 Sets out a list of approved AI tools for your organisation. 🔶 Establishes boundaries for how your organisation can use AI. 🔶 Creates a framework that ensures the safe, ethical, and responsible use of AI within your organisation. If this is something you don't already have (or perhaps needs updating), then do get in touch and we'd be happy to help. #AI #ArtificialIntelligence #Policy #AIPolicy #ITSupport #Protection

🤖💡 AI is transforming our world, but what does it mean for your privacy? Dive into our latest blog to uncover the benefits, risks, and how to protect your data in the age of AI. 🔗 https://lnkd.in/e5yVdUQ4 #AI #Privacy #DataProtection #Innovation

How do we address the complex issues of AI and privacy in the Global South? What are the unique challenges and opportunities in this context? At PrivacyNama 2024, we will explore these questions and more, discussing the regulatory frameworks needed to balance innovation with privacy protection. With sessions on AI sovereignty, cross-border data flows, and the application of privacy principles to AI, this event promises to be a comprehensive look at the state of AI and privacy worldwide. Read more about the event here. Join us on October 3rd & 4th for two days of thought-provoking conversations with global experts. Register here: https://lnkd.in/dr5KadKp #PrivacyNama2024 #AI #GlobalSouth #TechPolicy #PrivacyRights

Last week at #Todaysoftwaremagazine we learned from speakers: 📢 that it is recommended to support the internal development of AI to increase resilience and reduce dependence on large companies (fighting monopoly) 🔐 to develop protection and security strategies to incorporate the new data generated by AI; it generates opinions and thoughts, and this is the reason why it is called intelligence and does not reproduce the actions of humans 💡conduct comparative testing between human decisions and those of an AI 📎as #privacy specialists let's focus on the prompt, not on the code It was a pleasure to learn that the main concern of engineers when developing or using AI, are #dataprotection and #ethics. Thus, it is impossible for company managers not to value the DPO's opinion. Data is the new gold of companies, so be careful when you dismiss the DPO's recommendations outright.