This is your opportunity to lead a critical initiative in a fast-paced, dynamic industry where your expertise in ethical AI will influence millions of viewers worldwide. If you are passionate about the intersection of technology, ethics, and innovation, this role is for you. 

1. Strategy and Leadership 

• Develop and lead the company’s overarching Responsible AI (RAI) strategy, ensuring alignment with business objectives and societal expectations. 

• Provide expert advice to executive leadership on emerging risks, trends, and opportunities in Responsible AI. 

• Drive a culture of ethical AI awareness across the organization through training, workshops, and communication. 

2. AI Governance and Compliance 

• Establish and implement governance frameworks for AI/ML development and deployment, ensuring alignment with global regulatory and industry standards. 

• Define and enforce policies for fairness, transparency, accountability, and privacy in AI solutions. 

• Conduct regular audits and assessments of AI systems to identify and mitigate ethical, social, and legal risks. 

• Develop guidelines and tools for explainable AI to enhance trust and understanding of AI systems. 

• Collaborate with legal and compliance teams to ensure adherence to AI-related regulatory requirements, such as GDPR and other global privacy laws. 

3. Risk Assessment and Mitigation 

• Identify potential risks in AI/ML systems, including biases, privacy issues, and unintended consequences. 

• Design and implement risk assessment protocols to proactively address issues before deployment. 

• Work with technical teams to improve robustness and resilience of AI systems against adversarial attacks. 

• Ensure AI models are interpretable and accessible to stakeholders, enhancing their accountability and usability. 

• Develop incident response plans for AI-related failures or ethical concerns. 

4. Collaboration and Stakeholder Engagement 

• Partner with AI engineering, product, and business teams to embed responsible AI principles into the entire development lifecycle. 

• Collaborate with external organizations, academia, and industry bodies to stay ahead of emerging trends and best practices in Responsible AI. 

• Act as a bridge between technical and non-technical teams, ensuring responsible AI principles are well understood and implemented. 

• Build and maintain relationships with external audit and certification bodies for responsible AI. 

• Advocate for the organization’s Responsible AI initiatives through strategic partnerships and community engagement. 

5. Innovation and Continuous Improvement 

• Stay abreast of the latest research and innovations in ethical AI, fairness, and governance. 

• Promote the adoption of state-of-the-art tools, techniques, and methodologies for responsible AI. 

• Drive innovation by encouraging cross-disciplinary research and exploration of new approaches to ethical AI. 

• Monitor and evaluate the effectiveness of Responsible AI programs, iterating to address gaps and improve outcomes. 

• Publish research papers, case studies, and white papers to establish the company as a leader in Responsible AI. 

Qualifications & Experiences: 

Academic Qualifications: 

• Master’s or Ph.D. in Computer Science, Data Science, Ethics, Law, or a related field, with a focus on AI/ML, ethics, or governance. 

• Certifications or specialized training in Responsible AI, AI ethics, or governance frameworks are highly desirable. 

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