What does the EU Act mean for AI?
12 oct 2023
Groundbreaking AI Act is in force, bringing significant changes for fintech companies that leverage AI technology. Here's a comprehensive overview of the Act's implications, tailored to your friendly reading preferences.
🗒 Navigating the Risk-Based Tiered System
The AI Act adopts a risk-based approach, categorizing AI systems into three tiers based on their potential impact: unrestrictive, limited, and high-risk. For which additional obligations apply, including mandatory fundamental rights impact assessments.
🗒 Foundation Models Get Regulated
Following the lead of President Biden's Executive Order, this act regulates foundation models, which are the most complex and powerful AI models, requiring 10^25 flops of computing power to train. Models crucial for fintech applications like natural language processing and fraud detection.
🗒 Prohibited AI Systems
Safeguarding fundamental rights, the AI Act prohibits six categories of AI systems:
• Biometric categorization using sensitive characteristics
• Untargeted facial recognition databases
• Emotion recognition in workplaces and educational institutions
• Social scoring based on social behavior or personal characteristics
• Manipulative AI systems
• AI exploiting vulnerabilities of individuals
🗒 Transparency and Accountability for High-Risk AI
High-risk AI systems must adhere to stringent transparency requirements, including clear explanations of their operation and decision-making processes. Additionally, providers must maintain thorough documentation to demonstrate compliance.
🗒 Bias Management and Human Oversight
High-risk AI systems must be designed and developed to effectively manage biases, ensuring non-discrimination and adherence to fundamental rights. Human oversight is also mandatory for these systems to minimize risks and ensure human discretion.
🗒 Potential Impacts on Fintech Companies
Companies using prohibited technologies may need to switch strategies. Increased transparency might affect IP protection, seeking a balance between disclosure and secrecy. Investing in better data and bias management tools could improve AI fairness at a higher cost. Documentation and record-keeping add administrative burden, impacting product launch. Integrating human oversight into high-risk AI requires system and staff adjustments.
🗒 Penalties for Non-Compliance
Non-compliance with the AI Act carries significant financial penalties, ranging from €35 million to €7.5 million, depending on the infringement and company size.
🗒 Legal Guidance is Essential
The AI Act's implications are far-reaching and complex, making it crucial for fintech companies to seek legal guidance to navigate this new regulatory landscape effectively.
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The original document can be found here:
https://thefuturesociety.org/wp-content/uploads/2023/12/EU-AI-Act-Compliance-Analysis.pdf
🗒 Navigating the Risk-Based Tiered System
The AI Act adopts a risk-based approach, categorizing AI systems into three tiers based on their potential impact: unrestrictive, limited, and high-risk. For which additional obligations apply, including mandatory fundamental rights impact assessments.
🗒 Foundation Models Get Regulated
Following the lead of President Biden's Executive Order, this act regulates foundation models, which are the most complex and powerful AI models, requiring 10^25 flops of computing power to train. Models crucial for fintech applications like natural language processing and fraud detection.
🗒 Prohibited AI Systems
Safeguarding fundamental rights, the AI Act prohibits six categories of AI systems:
• Biometric categorization using sensitive characteristics
• Untargeted facial recognition databases
• Emotion recognition in workplaces and educational institutions
• Social scoring based on social behavior or personal characteristics
• Manipulative AI systems
• AI exploiting vulnerabilities of individuals
🗒 Transparency and Accountability for High-Risk AI
High-risk AI systems must adhere to stringent transparency requirements, including clear explanations of their operation and decision-making processes. Additionally, providers must maintain thorough documentation to demonstrate compliance.
🗒 Bias Management and Human Oversight
High-risk AI systems must be designed and developed to effectively manage biases, ensuring non-discrimination and adherence to fundamental rights. Human oversight is also mandatory for these systems to minimize risks and ensure human discretion.
🗒 Potential Impacts on Fintech Companies
Companies using prohibited technologies may need to switch strategies. Increased transparency might affect IP protection, seeking a balance between disclosure and secrecy. Investing in better data and bias management tools could improve AI fairness at a higher cost. Documentation and record-keeping add administrative burden, impacting product launch. Integrating human oversight into high-risk AI requires system and staff adjustments.
🗒 Penalties for Non-Compliance
Non-compliance with the AI Act carries significant financial penalties, ranging from €35 million to €7.5 million, depending on the infringement and company size.
🗒 Legal Guidance is Essential
The AI Act's implications are far-reaching and complex, making it crucial for fintech companies to seek legal guidance to navigate this new regulatory landscape effectively.
Follow us on LinkedIn to stay up-to-date
The original document can be found here:
https://thefuturesociety.org/wp-content/uploads/2023/12/EU-AI-Act-Compliance-Analysis.pdf
🗒 Navigating the Risk-Based Tiered System
The AI Act adopts a risk-based approach, categorizing AI systems into three tiers based on their potential impact: unrestrictive, limited, and high-risk. For which additional obligations apply, including mandatory fundamental rights impact assessments.
🗒 Foundation Models Get Regulated
Following the lead of President Biden's Executive Order, this act regulates foundation models, which are the most complex and powerful AI models, requiring 10^25 flops of computing power to train. Models crucial for fintech applications like natural language processing and fraud detection.
🗒 Prohibited AI Systems
Safeguarding fundamental rights, the AI Act prohibits six categories of AI systems:
• Biometric categorization using sensitive characteristics
• Untargeted facial recognition databases
• Emotion recognition in workplaces and educational institutions
• Social scoring based on social behavior or personal characteristics
• Manipulative AI systems
• AI exploiting vulnerabilities of individuals
🗒 Transparency and Accountability for High-Risk AI
High-risk AI systems must adhere to stringent transparency requirements, including clear explanations of their operation and decision-making processes. Additionally, providers must maintain thorough documentation to demonstrate compliance.
🗒 Bias Management and Human Oversight
High-risk AI systems must be designed and developed to effectively manage biases, ensuring non-discrimination and adherence to fundamental rights. Human oversight is also mandatory for these systems to minimize risks and ensure human discretion.
🗒 Potential Impacts on Fintech Companies
Companies using prohibited technologies may need to switch strategies. Increased transparency might affect IP protection, seeking a balance between disclosure and secrecy. Investing in better data and bias management tools could improve AI fairness at a higher cost. Documentation and record-keeping add administrative burden, impacting product launch. Integrating human oversight into high-risk AI requires system and staff adjustments.
🗒 Penalties for Non-Compliance
Non-compliance with the AI Act carries significant financial penalties, ranging from €35 million to €7.5 million, depending on the infringement and company size.
🗒 Legal Guidance is Essential
The AI Act's implications are far-reaching and complex, making it crucial for fintech companies to seek legal guidance to navigate this new regulatory landscape effectively.
Follow us on LinkedIn to stay up-to-date
The original document can be found here:
https://thefuturesociety.org/wp-content/uploads/2023/12/EU-AI-Act-Compliance-Analysis.pdf
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