Concept Graph & Resume using Claude 3 Opus | Chat GPT4o | Llama 3:
Resume:
1.- Francesca Rossi is the AI Ethics Global Leader at IBM Research.
2.- The "Trust in AI" track at the AI for Good Global Summit 2018 was structured around three themes of trust.
3.- Trust is needed between users and AI systems, among different AI stakeholders/communities, and among different cultures.
4.- Nine example projects were presented in the trust track to demonstrate how to build trustworthy AI.
5.- The "Trust Factory" concept was launched as a global incubator to expand the work beyond the one-day track.
6.- AI needs the right level of trust - undertrust prevents realizing benefits while overtrust attributes unwarranted capabilities.
7.- Many new initiatives in the past 2-2.5 years aim to make AI beneficial and trustworthy for individuals and society.
8.- IBM Research publishes work on bias detection/mitigation, explainability, and value alignment to develop responsible AI.
9.- IBM has a data responsibility policy to not reuse client data for other purposes. This attracts clients but limits data.
10.- IBM's "Principles for the Cognitive Era" state AI should augment human intelligence, not replace it, to help professionals work better.
11.- IBM co-founded the Partnership on AI with 5 other major tech companies to discuss AI's societal impact.
12.- The Partnership has grown from 6 to 53 multi-stakeholder partners to identify and resolve AI deployment issues.
13.- Thematic pillars include fair/transparent/accountable AI, safety-critical AI, AI's impact on jobs, and human-AI collaboration.
14.- The Partnership's corporate presence provides a voice on real-world AI deployment that is unique compared to academic initiatives.
15.- The AI for Good summits have evolved as the AI ethics field has progressed.
16.- The 2017 summit introduced the UN development and AI communities to each other's terminologies and issues.
17.- The 2018 summit was more concrete and action-oriented with specific projects and 12-month timelines.
18.- The four 2018 tracks had 9-15 projects each, demonstrating the readiness for tangible outputs compared to earlier discussion phases.
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