Topic: Information technology
We held our first paper talk where we delved into the ethical challenges of large language models (LLMs), exploring frameworks, biases, privacy, and the societal impact of AI innovation.
Explore the intersection of ethics and AI with out first paper talk focused on addressing ethical challenges in large language models (LLMs). This session is ideal for professionals and researchers looking to align AI innovation with societal values. Topics discussed will include:
- Ethical Frameworks: Overview of standards like NIST AI RMF and EU AI Act.
- Project Lifecycle: Addressing ethics at each development and deployment stage.
- Bias and Privacy: Tackling bias in data and preserving user privacy in LLMs.
- Stakeholder Engagement: Aligning outcomes with diverse societal perspectives.
- Environmental Impact: Evaluating and minimizing LLM ecological footprint.
- Ethical Implications: Exploring hallucinations, misuse, copyright issues, and safety.
Boris Mocialov is a curious mind with a knack for blending AI and ethics in creative ways. With a mix of academic and real-world experience, he's all about building AI that plays fair, stays transparent, and takes responsibility. Boris worked on some pretty cool projects in data science, and sustainable tech, and he loves sharing what he's learned—whether it's in workshops, lectures, or just nerding out about how AI can help tackle big global problems.
Publication for reference.
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