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- Combined presentation slide deck
- Recordings and slides from the AI Ethics webinar series are posted here
- If you work for a NetHope member organization, you’re invited to join our AI Working Group
- Let us know what other topics you’d like to hear about in the future - related to AI ethics, responsible innovation, AI / ML: Email Leila Toplic directly
Links shared by Francesca Rossi, IBM fellow and AI Ethics Global Leader, IBM
- IBV study on “Advancing AI ethics beyond compliance”
- Trusted AI for business
- AI precision regulation
- Facial recognition
- Response to COVID-19
- European Commission High Level Expert Group on AI on Trustworthy AI
- Partnership on AI
- IEEE Global Initiative on Ethical Consideration on AI Systems
- Principled AI
Links shared by Steve Sweetman, Principal Program Manager, Ethics & Society Center, Microsoft
- Microsoft's AI Ethics Game: Judgement Call
- Download the Harms Modeling booklet
- Foundations of assessing harm
- Guidelines for Human-AI Interaction
- Fairlearn: A Python package to assess and improve fairness of machine learning models
In the first three webinars in the AI Ethics webinar series, we focused on responsible innovation and how to design ethical AI solutions and programs. In order to have ethical AI solutions, we first need the organizations developing and using those solutions to be ethical and responsible. In Part IV, we will explore how ethical considerations are integrated into organizational culture and processes, and how to design responsible organizations.
Technology companies such as Microsoft and IBM are important stakeholders in ethical and responsible design and use of AI solutions, and they’ve been working on designing their own organizations and ecosystems to be more responsible. In recent years, some technology companies have developed ethical principles and frameworks as mechanisms to highlight important issues, and to guide the design and use of AI technologies in ways that are ethically, socially, and environmentally responsible. But those principles and frameworks are only as effective and impactful as the organizations’ ability to operationalize them across the whole system—the teams they hire, what problems they choose to solve, the processes they use to incentivise the use of those principles and frameworks, with whom they partner, and more.
In this webinar, we’ll explore the following questions in a conversation with AI Ethics experts from Microsoft and IBM:
- What does responsible innovation look like at technology companies?
- What practical tools are technology companies using to integrate ethical considerations into company culture and processes? How can these be scaled to work for an NGO?What are some of the practical examples and lessons learned?
- How do you create transparency and accountability that makes responsible innovation possible at every level of the organization?
- How do you engage internal and external stakeholders across the whole technology cycle, from the initial design to its ultimate end use?
- How do you balance business objectives with responsible innovation?
Leila Toplic, Lead for Emerging Technologies Initiative, NetHope
Francesca Rossi, IBM fellow and AI Ethics Global Leader, IBM
Steve Sweetman, Principal Program Manager, Ethics & Society Center, Microsoft