Data Privacy and Security Training: Safeguarding Sensitive Data in AI
Training Objectives
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Equip participants with a comprehensive understanding of data privacy and security considerations in AI.
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Provide practical strategies and best practices to ensure compliance with the EU AI Act's requirements for data protection.
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Empower teams to effectively handle and safeguard sensitive data throughout the AI lifecycle.
Training Duration: 1-day workshop
Training Fee: €1500
Module 1: Introduction to Data Privacy and Security in AI
- Understanding the significance of data privacy and security in AI systems.
- Exploring the implications of the EU AI Act's data protection mandates on AI practices.
Module 2: GDPR and Beyond: Legal Landscape for Data Protection
- A deep dive into GDPR regulations and their implications for AI data handling.
- Navigating other global data protection regulations and their alignment with the EU AI Act.
Module 3: Identifying Sensitive Data in AI
- Recognizing the types of sensitive data commonly used in AI models.
- Understanding the ethical and legal responsibilities of handling personal and sensitive data.
Module 4: Data Collection and Processing Best Practices
- Guidelines for ethically collecting, processing, and storing data in compliance with privacy regulations.
- Strategies to ensure data minimization, purpose limitation, and user consent.
Module 5: Securing Data Infrastructure in AI
- Exploring cybersecurity measures to protect data stored and processed by AI systems.
- Encryption, access controls, and monitoring for data security.
Module 6: The EU AI Act and Data Privacy Compliance
- Analyzing the EU AI Act's requirements related to data privacy and security.
- Mapping AI data practices to the Act's mandates to ensure compliance.
Module 7: Handling Data Breaches and Incidents
- Strategies for responding to data breaches and security incidents effectively.
- Preparing incident response plans to mitigate risks and minimize impact.
Module 8: Interactive Workshops and Case Studies
- Collaborative discussions on real-world scenarios related to data privacy and security in AI.
- Analyzing case studies to identify best practices for handling sensitive data.
Module 9: Building a Data Privacy Culture
- Strategies for fostering a culture of data privacy and security awareness within the organization.
- Empowering participants to champion data protection principles.
Training Delivery
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Expert presentations on data privacy and security regulations, practices, and case studies.
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Group discussions to explore practical scenarios and ethical dilemmas.
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Hands-on exercises in data handling, privacy policy creation, and incident response planning.
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Q&A sessions to address participant queries and concerns.
Training Benefits
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Comprehensive understanding of data privacy and security regulations in AI.
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Practical skills in handling and securing sensitive data throughout the AI lifecycle.
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Alignment with the EU AI Act's data protection requirements.
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Empowerment to build a data privacy culture within the organization.
Contact us to Learn More
For inquiries about our Data Privacy and Security Training program and its potential to enhance your organization's ethical AI practices, please contact support@ethosai.ai.
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Ali Hessami is currently the Director of R&D and Innovation at Vega Systems, London, UK. He has an extensive track record in systems assurance and safety, security, sustainability, knowledge assessment/management methodologies. He has a background in the design and development of advanced control systems for business and safety-critical industrial applications.
Hessami represents the UK on the European Committee for Electrotechnical Standardization (CENELEC) & International Electrotechnical Commission (IEC) – safety systems, hardware & software standards committees. He was appointed by CENELEC as convener of several Working Groups for review of EN50128 Safety-Critical Software Standard and update and restructuring of the software, hardware, and system safety standards in CENELEC.
Ali is also a member of Cyber Security Standardisation SGA16, SG24, and WG26 Groups and started and chairs the IEEE Special Interest Group in Humanitarian Technologies and the Systems Council Chapters in the UK and Ireland Section. In 2017 Ali joined the IEEE Standards Association (SA), initially as a committee member for the new landmark IEEE 7000 standard focused on “Addressing Ethical Concerns in System Design.” He was subsequently appointed as the Technical Editor and later the Chair of P7000 working group. In November 2018, he was appointed as the VC and Process Architect of the IEEE’s global Ethics Certification Programme for Autonomous & Intelligent Systems (ECPAIS).
Trish advises and trains organisations internationally on Responsible AI (AI/data ethics, policy, governance), and Corporate Digital Responsibility.
Patricia has 20 years’ experience as a lawyer in data, technology and regulatory/government affairs and is a registered Solicitor in England and Wales, and the Republic of Ireland. She has authored and edited several works on law and regulation, policy, ethics, and AI.
She is an expert advisor on the Ethics Committee to the UK’s Digital Catapult Machine Intelligence Garage working with AI startups, is a Maestro (a title only given to 3 people in the world) and expert advisor “Maestro” on the IEEE’s CertifAIEd (previously known as ECPAIS) ethical certification panel, sits on IEEE’s P7003 (algorithmic bias)/P2247.4 (adaptive instructional systems)/P7010.1 (AI and ESG/UN SDGS) standards programmes, is a ForHumanity Fellow working on Independent Audit of AI Systems, is Chair of the Society for Computers and Law, and is a non-exec director on the Board of iTechlaw and on the Board of Women Leading in AI. Until 2021, Patricia was on the RSA’s online harms advisory panel, whose work contributed to the UK’s Online Safety Bill.
Trish is also a linguist and speaks fluently English, French, and German.
In 2021, Patricia was listed on the 100 Brilliant Women in AI Ethics™ and named on Computer Weekly’s longlist as one of the Most Influential Women in UK Technology in 2021.
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