August 24, 2023
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Trust
Making AI trustworthy: Can we overcome black-box hallucinations?
TechCrunch, 08/24/23. In today’s world, AI systems have become increasingly prevalent and influential. However, many of these systems operate on black-box models, meaning that the reasoning behind their decisions remains unknown. This lack of explainability raises significant concerns, as AI systems have the potential to make crucial, life-impacting choices. On the other hand, an alternative AI framework called instance-based learning (IBL) offers transparency and trustworthiness. IBL allows users to understand and audit the decision-making process, as each decision can be traced back to the training data. This framework holds great promise for applications where explainability and accountability are paramount, such as in regulated entities and areas plagued by bias allegations. READ THE ARTICLE
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Management
Executives and Managers Welcome AI, But Struggle With It
Forbest, 08/24/23. AI is increasingly becoming a priority for executives and business leaders, who are under pressure to embrace new technologies and drive innovation. However, many executives struggle to measure the return on investment in new technology and can easily get caught up in the allure of the latest trends. With the rise of generative AI, executives are facing the challenge of deciding which projects to pursue first and making strategic decisions that will have the biggest impact on their company. The adoption of AI requires the involvement of all corporate functions and the acquisition of AI-specific talent to drive successful implementation. READ THE ARTICLE
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Labeling
Twilio adds ‘nutrition labels’ to AI products
IAPP, 08/24/23. Communication tool services company Twilio is adding “nutrition labels” to its artificial intelligence services. These labels will provide information about the AI models being used, the data used to train those models, and how collected data will be used. This initiative aims to increase transparency and trust in AI technology. Twilio is also offering an online tool to help other companies generate similar labels. This development showcases the growing importance of ethical AI practices in the tech industry. [75 words] READ THE ARTICLE
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Robotics
AI helps robots manipulate objects with their whole bodies
ScienceDaily, 08/24/23. Researchers at MIT have developed a method to simplify contact-rich manipulation planning for robots. By using an AI technique called smoothing, the researchers were able to summarize numerous contact events into a smaller number of decisions, enabling a simple algorithm to quickly identify an effective manipulation plan for the robot. This approach could make it possible for factories to use smaller, mobile robots that can manipulate objects with their entire arms or bodies, reducing energy consumption and costs. Additionally, this technique could be valuable for robots on exploration missions in space. The research appears in the IEEE Transactions on Robotics. READ THE ARTICLE
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IP
District Court Confirms ‘Human Authorship’ Requirement, Sets Copyright Boundary for AI-Generated Works
Cooley, 08/24/23. In the case of Thaler v. Perlmutter, et al., Judge Beryl A. Howell ruled that works created entirely by artificial intelligence (AI) are not copyrightable due to the absence of human authorship. The court rejected the argument that copyright laws could accommodate AI authorship, emphasizing the requirement for human creativity. While copyright law can adapt to new technologies, Judge Howell stressed that human involvement and creative control are essential for protectable works. The decision raises important questions for the future, such as the level of human input required for AI-generated works and the scope of protection for such works. READ THE ARTICLE