Enhance Ethical Data Quality: Specialized Ethical Data Quality AuditWhy to Act
In the world of AI, data is the foundation. Ensuring its quality and ethics is paramount. Our Specialized Ethical Data Quality Audit service is your tool to navigate this intricate terrain. As AI systems rely on data, identifying biases, inaccuracies, and ethical concerns is a proactive step toward responsible AI deployment.
What to Do It
Our Specialized Ethical Data Quality Audit service empowers you to:
Comprehensive Evaluation: Our experts meticulously assess your data sources to identify biases, inaccuracies, and ethical vulnerabilities.
Bias Identification: Uncover potential biases that could influence AI decisions, ensuring fairness and equitable outcomes.
Ethical Adherence: Identify data with potential ethical concerns, ensuring responsible AI practices from the ground up.
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What to Do It
Engagement: Begin with a consultation to understand your organization's data landscape, AI initiatives, and ethical considerations.
Data Assessment: Our experts thoroughly analyze your data sources, employing advanced techniques to reveal biases and inaccuracies.
Bias Detection: Uncover hidden biases within data sets, fostering fairness and transparency in AI decision-making.
Ethical Checkpoint: Identify data elements that might pose ethical concerns, ensuring ethical practices throughout AI deployment.
What to Do
Data Integrity: Gain confidence in your AI systems by ensuring the quality and integrity of your data sources.
Fairness Enhancement: Address biases proactively, ensuring your AI systems make fair and unbiased decisions.
Ethical Foundation: Identify and rectify potential ethical issues within your data, laying the groundwork for responsible AI.
Trust Building: Showcase your commitment to ethical data usage, building trust among stakeholders and users.
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Act Now. Elevate Data Ethics. Deploy AI Responsibly.
Contact us at support@ethosai.ai to embark on a journey toward ethical data quality excellence through our Specialized Ethical Data Quality Audit.
Forge ethical paths in AI. Ensure data integrity. Deploy responsibly.
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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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