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

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? Welcome back to Blended! Today we're talking about AI who isn't?! But we're not talking about efficiency or data-driven decision-making – 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 been 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 our guests will be taking a closer look today. They'll be discussing what ethical AI really means, and how ethics can differ from person to person. They'll be exploring accountability, and who's really responsible for ensuring individuals and organizations embed ethics into everything they do. And they'll be sharing their most useful resources so we can all be better educated as we move into an AI-powered future. IN THIS EPISODE: [01.46] Introductions to our Blended panelists. Giselle – Chief of Product Inclusion at ADP Corey – Senior Director of Growth at Mentavi health Noelle – CEO at AI Leadership Institute Lauren – Regional Head of Customer Care and Business Excellence at CMA CGM [09.36] The group discuss what ethical AI actually means and how it can look to different people in different environments. Corey's experience of young adults interactions with AI – anxiety and hesitation Noelle's experience of integrating AI into daily life to support her child with Downs Syndrome – empowering The power of voice-enabled technology Ethics – whose are they? Power Humility What are the ethics of the leaders I work for? Fairness – meeting all needs Transparency Ownership/personal rights Consideration Data capture/collection Nuance of humanity Inclusion Facial recognition/photography of different skin ones Bias Cultural context Serving a need: "Don't build for them without them" The evolution of DEI ERGs/responsible AI teams Safety and security "They could be really great little bots, doing the best they can, but also leaving destruction in their wake." Corey "When he was born, the prognosis wasn't great, the world isn't kind to kids like this… We've integrated AI into everything to give him the ability to focus on learning one skill – the ability to communicate… And his whole world opened, because I unlocked a door that was a portal to everything." Noelle "Ethical AI is an interesting term because I've always worked for these huge companies building very large AI systems and the ethics weren't mine. And I realized very early on that ethics, though it sounds great in practice, I'm bound by the ethics of the people I work for. That's why I now work for me!" Noelle "I see way too many organizations just trying to build something for the sake of staying ahead and getting something out of the door to sell, and not thinking about the energy, the impact on the environment that went into it, the impact on human beings – the ramifications of all these things." Giselle [38.43] The panel dive deeper into responsibility and accountability when it comes to ethical AI, from individual and organizational to societal and governmental. Governance Ever-changing regulations Compliance Communication Education Marketing Corey's experience of educating young people Curiosity Rapidly changing technology Open mindedness Money/investment Lauren's experience of AI at CMA CGM Relationships Intent Challenges in adoption of AI ethics UNESCOs recommendations and principles Feedback loop Awareness Capability to implement responsible choices Misunderstanding around usage Competitive advantage Control Internal accountability vs external accountability Measuring/aligning vendors to ethics Consumer power – holding brands accountable/sharing information Commoditization of AI AI ...
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