61 - From authenticity to accountability – what does ethical AI really mean? cover art

61 - From authenticity to accountability – what does ethical AI really mean?

61 - From authenticity to accountability – what does ethical AI really mean?

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 Episode 61 – From authenticity to accountability – what does ethical AI really mean? Hello everyone! Welcome to Blended and, today, we’re talking about AI – who isn’t?! But we’re not talking about efficiency or data-driven decision-making today – we’re talking about ethics. Gabriela Ramos, Assistant Director-General for Social and Human Sciences at UNESCO, has said that “In no other field is the ethical compass more relevant than in artificial intelligence. AI technology brings major benefits in many areas, but without the ethical guardrails, it risks reproducing real world biases and discrimination, fueling divisions and threatening fundamental human rights and freedoms.” And that’s something we all have to take seriously. Whilst many organizations have even excitedly talking about the potential to be found in AI, some have been overlooking the big challenges that come along with it. As AI becomes more intelligent, with some models even taking autonomous action, questions have been raised about what it’s actually saying. Job loss and displacement has been a big concern for workers. And AI’s huge carbon footprint is a real issue, in a climate where most organizations are attempting to reduce emissions. As we think about all of these different elements and more, it’s clear that ethics are key to the conversations we should be having around AI, and that robust standards are crucial to ensuring healthy, scalable adoption. So we’re going to be diving into that today. Welcome to Corey, Lauren, Noelle and Giselle. Let’s get started with some introductions; can you each tell me who you are, what you do and how you identify? Starting with you, Corey. As always, let’s start by laying a bit of groundwork for the discussion. · What is ethical AI? · Is ethical AI something that’s being talked about as much as it should be/as much as we’re talking about the potential applications for AI? · What are the risks if organizations don’t consider ethics in AI? UNESCO produced the first-ever global standard on AI ethics at the end of 2021 and central to their recommendations were four core values: Ø Human rights and human dignity Ø Living in peaceful, just and interconnected societies Ø Ensuring diversity and inclusiveness Ø Environment and ecosystem flourishing Ten principles then sit beneath these values, in a human-rights centred approach. Ø Proportionality and Do No Harm Ø Safety and Security Ø Right to Privacy and Data Protection Ø Multi-stakeholder and Adaptive Governance & Collaboration Ø Responsibility and Accountability Ø Transparency and Explainability Ø Human Oversight and Determination Ø Sustainability Ø Awareness & Literacy Ø Fairness and Non-Discrimination Obviously we don’t have time to do a deep dive into every single principle, but I think it’s important to touch on the ideal framework that’s being recommended. • What are your thoughts on these values and principles? • What do you think they say about collaboration between people and technology? • Do you see them being applied to the AI you encounter (professional or personal)? It might be helpful to use a real-life example as a jumping off point to discuss some of these principles. Last year, Air Canada was in the news after its chatbot gave a customer inaccurate information. The airline attempted to distance itself from the technology, there was a lawsuit and, ultimately, Air Canada was ordered to pay compensation. And I think this is a really interesting example to dig into, because it does raise multiple questions about ethics. · If the chatbot is ‘responsible for its own actions’ as the airline claims: o Are we expecting AI to be innately ethical/meet human standards? o Are we training AI models to do that? · Where do the ethical standards lie for the businesses utilizing AI models in this way? Pretty much all businesses are thinking about how to leverage AI, how to incorporate it more and more into systems and workflows. • How should organizations be thinking about ethical AI? • How can they ensure they’re applying the right values and principles to new AI projects? • How can they analyze what they might already have in place to ensure it meets those standards? • How can they utilize guidelines like UNESCO’s and create a tailored framework for their own organization? • How can they educate teams on the importance of ethical AI? • How can leaders step up and show accountability and responsibility and ensure AI governance is robust, transparent and managed? Let’s wrap up: can you each give me one take-away, or sum up, from today’s discussion? Thank you so much to Corey, Lauren, Noelle and ...
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