Responsible AI Strategy
4 maanden geleden
About the Role
Supporting the enterprise to build and deliver ethical and trustworthy data-driven technology. Working with the Responsible AI & Data Science (RAIDS) Senior Director & team to implement and evolve policies, standards and best practices. Embedding a culture of risk management in use of algorithms across the enterprise.
Responsibilities
Utilising your expertise in data strategy, governance and AI ethics to perform & maintain a market analysis. Evaluate best practices in the field on an ongoing basis, identifying threats & opportunities. Providing strategic recommendations on how to achieve organisational change within Elsevier, and how best to operationalize the RELX Responsible AI Principles. Conducting research & analyses of operational effectiveness, processes & stakeholders in AI governance. Drive & iterate development of governance artefacts including data cards, model cards and algorithmic impact assessments. Scaling internal RAIDS Champions training program to provide ongoing education & awareness. Facilitate & provide support for product & data science teams in completing Algorithmic Impact Assessments and escalating issues according to policy. Consulting on technology & AI policy across the business, including working with governance leaders in RELX on the upcoming EU AI Act. Support RAIDS Senior Director in guiding executive decision-making process.Requirements
Have expertise and deep interest in AI ethics and data governance, with up-to-date knowledge of the AI governance landscape Display deep knowledge of ethics and diversity issues in publishing, research, academia & healthcare Have an awareness of the data technology landscape, including knowledge of some tooling and platform capabilities Experience in delivering training including developing training materials, planning & facilitating workshops. Work in a way that works for you
We promote a healthy work/life balance across the organisation and are happy to consider flexible working arrangements such as
Working flexible hours - flexing the times you work in the day
Working with us
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