AI

AI Chat Support and GDPR: Ensuring Data Privacy in Automated Conversations

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AI chat support offers businesses efficient customer service but raises data privacy concerns under GDPR in the EU. Compliance requires clear user information regarding data collection, purpose limitation, and data protection principles. Chatbots must ensure transparency, minimal data collection, user data accuracy, timely deletion, security, and provide users control over their data. Mistakes can lead to fines and reputation loss. Platforms like Kodif streamline compliance through automation. Prioritizing GDPR compliance fosters customer trust and enhances business reputation.

https://techbullion.com/ai-chat-support-and-gdpr-ensuring-data-privacy-in-automated-conversations/

Beyond Safe Models: Why AI Governance Must Tackle Unsafe Ecosystems

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AI governance must shift focus from just ensuring model safety to addressing the risks of unsafe deployment ecosystems, which are influenced by institutional contexts, conflicting incentives, and inadequate oversight. While initiatives like the EU AI Act emphasize technical compliance, they often ignore the broader environment affecting AI use, leading to harmful outcomes like discrimination and misinformation. Effective governance requires assessing deployment contexts, aligning institutional incentives, ensuring accountability, and establishing adaptive oversight to manage emerging risks, ultimately recognizing that AI's dangers stem from both its operation and the settings it inhabits.

https://www.techpolicy.press/beyond-safe-models-why-ai-governance-must-tackle-unsafe-ecosystems/

What if the EU Was Really Serious About AI?

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EU's AI strategy lags behind the US and China. To become competitive, it should:

  1. Infrastructure: Increase investment in cloud computing and partnering with US tech.
  2. Data: Simplify data regulations, enhance open data access, and incentivize data sharing.
  3. AI Adoption: Set ambitious AI targets and focus on outcomes in public contracts.
  4. Skills and Talent: Fund AI academic positions and pivot education programs toward AI skills.
  5. (De)Regulation: Streamline regulations for ease of use while ensuring safety.

Addressing defense AI and promoting global leadership in open-source AI is vital. Europe has the resources; bold actions are required to catch up.

https://cepa.org/article/what-if-the-eu-was-really-serious-about-ai/

R&G Tech Studio: Navigating AI Literacy—Understanding the EU AI Act

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R&G Tech Studio podcast discusses the EU AI Act, focusing on AI literacy requirements for organizations. Hosts Rohan Massey and Edward Machin explain the broad definition of AI systems under the Act and emphasize the importance of AI literacy for both providers and deployers, irrespective of risk categories. Organizations must tailor AI literacy training based on contextual needs, employee roles, and resources. They suggest that companies begin developing AI literacy strategies now, despite limited guidance, to ensure compliance and effectively manage AI-related risks.

https://www.ropesgray.com/en/insights/podcasts/2025/04/rg-tech-studio-navigating-ai-literacy-understanding-the-eu-ai-act#page=1

General-Purpose AI (GPAI)

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GPAI: versatile AI, performs diverse tasks across domains, adapts learning, mimics human-like reasoning, enhances automation, key for innovation, ethical considerations critical.

EU Moves to Clarify AI Act Scope for gen-AI

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EU proposes thresholds for computational resources to clarify compliance for general-purpose AI (GPAI) models under the AI Act effective August 2025. The guidelines, subject to industry feedback via a survey, aim to establish when AI models become subject to regulatory requirements. Key points include defining GPAI models based on compute use (>= 10^22 FLOP), obligations for record-keeping, copyright policies, and potential compliance benefits for signatories to a forthcoming code of practice. Critics argue reliance on FLOP is flawed as it may inadequately reflect model capabilities and risks. Moreover, modifications over certain compute thresholds may elevate compliance burdens.

https://www.pinsentmasons.com/out-law/news/eu-clarify-ai-act-scope-gen-ai

EU AI Office Clarifies Key Obligations for AI Models Becoming Applicable in August

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EU AI Office issued draft guidelines for obligations on general-purpose AI (GPAI) models applicable from August 2025. Stakeholders can provide feedback until May 22, 2025. The guidelines clarify the AI Act's provisions for GPAI, defining it as models performing multiple tasks, needing technical documentation and copyright compliance. Systems exceeding 10^25 FLOPs qualify as GPAI with systemic risk (GPAI-SR) and have stricter requirements. Fine-tuning these models may create new compliance obligations. Companies should establish AI governance, map AI applications, and prepare for the upcoming regulations. Compliance for earlier models must be achieved by August 2027.

https://www.wsgr.com/en/insights/eu-ai-office-clarifies-key-obligations-for-ai-models-becoming-applicable-in-august.html

Artificial Intelligence Is About Skill Transformation, Not Job Loss: TCS Global AI Head, ET CIO

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TCS Global AI head Ashok Krish emphasizes AI drives skill transformation rather than job loss; sees it as a board-level priority for cultural and technological change. He notes AI can streamline workflows and reshape projects without eliminating jobs, generating new opportunities in various industries.

https://cio.economictimes.indiatimes.com/news/artificial-intelligence/artificial-intelligence-is-about-skill-transformation-not-job-loss-tcs-global-ai-head/120682763

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