Artificial Intelligence Can’t Work Without Our Data. We should all be paid for it.
Artificial Intelligence Can’t Work Without Our Data. We should all be paid for it. August 13,2023 Authored: Barath Raghavan and Bruce Schneier Published: Politico Summary: The article proposes the idea of an “AI Dividend” to compensate individuals for their data used to train generative AI models like ChatGPT. It suggests that Big Tech companies should […]
Japan Leaning Toward Softer AI Rules Than EU, Official Close to Deliberations Says
Sam Nussey and Tim Kelly – Reuters
Japan is considering a more lenient approach to regulating artificial intelligence than the strict rules proposed by the European Union. The Japanese government aims to boost economic growth and become a leader in advanced chips with AI technology. The EU’s rules, such as disclosing copyrighted material used to train AI systems, are seen as too stringent by some Japanese officials. Japan’s approach could impact the establishment of the EU’s rules as a global benchmark. Both Japan and the EU are promoting their respective AI rule-making strategies to advance in the field of technology.
The Huge Power and Potential Danger of AI-Generated Code
Will Knight – WIRED Magazine
GitHub’s report on AI coding assistant Copilot reveals that users accepted the AI’s suggestions about 30% of the time, indicating its ability to predict useful code. AI-enhanced coders saw productivity increase over time, with the greatest gains observed among less experienced developers. However, a study by Stanford University found that programmers using code-generating AI assistants tended to include more bugs in their final code, leading to concerns about overreliance on automation and potential issues in AI-generated code. Regulators and lawmakers should consider the subtler impacts of AI deployments on software quality.
Generative AI’s Impact on Learning and Development
Jen Dewar – Linkedin
Generative Artificial Intelligence (GAI) is gaining popularity rapidly and is expected to have a transformative impact on workplace learning programs. GAI can be used for content creation, adaptive development plans, learning program communication, knowledge discovery, skills gap analysis, and succession planning. The benefits include higher productivity, creativity, and better decision-making. However, incorporating GAI requires careful consideration of accuracy, ethics, and confidentiality issues. Creating guidelines and policies for responsible use is essential to harnessing the potential of GAI in the learning and development space. Embracing GAI now can help organizations future-proof their workforce and stay ahead in the evolving world of work.
The Economic Potential of Generative AI: The Next Productivity Frontier
Michael Chui – McKinsey & Company
Generative AI has the potential to add trillions of dollars in value to the global economy, with estimates of $2.6 trillion to $4.4 trillion annually across various use cases. It can significantly impact customer operations, marketing and sales, software engineering, and R&D, and will have wide-ranging effects across different industries. However, the technology will require investments in worker support and skills development to ensure successful integration and maximize productivity gains. Addressing ethical and security risks associated with generative AI is crucial to unlocking its full potential. Companies and leaders must act swiftly to harness the benefits while managing the risks.
Intelligent Classrooms: What AI Means For The Future Of Education
Intelligent Classrooms: What AI Means For The Future Of Education June 7, 2023 Authored: Vicki Phillips Published: Forbes Summary: Generative AI tools are changing the landscape of education, bringing both opportunities and challenges. Students, often early adopters of new technologies, will become experts in AI faster than many adults. Schools can leverage AI for personalized […]
AI Will Transform Teaching and Learning. Let’s Get it Right.
AI Will Transform Teaching and Learning. Let’s Get it Right. March 9, 2023 Authored: By Claire Chen Published: Stanford HAI Summary: The AI+Education Summit at Stanford explored the potential and risks of AI in education. It discussed how AI can enhance personalized support for teachers, change what is important for learners, enable learning without fear […]
Generative AI: Are we Seeing the Future of Corporate L&D?
Diane Nowell – Headspring Executive Development
Generative AI, represented by ChatGPT from OpenAI, is rapidly gaining popularity and has the potential to transform corporate Learning & Development (L&D) programs. Its applications include creating personalized training content, improving access and inclusion for learners, scaling cross-organizational provision, delivering continuous learning at scale, and accelerating skills-based learning. However, human oversight and planning will remain crucial, as AI’s accuracy depends on the quality of training data and the human understanding of learning methodologies. Integrating generative AI into L&D culture will require careful consideration and may increase the workload for L&D departments.
Self-Taught AI Shows Similarities to How the Brain Works
Self-Taught AI Shows Similarities to How the Brain Works August 11, 2022 Authored: By Anil Ananthaswamy Published: Quanta Magazine Summary: AI tools, like generative AI, are increasingly being used by researchers for writing scientific papers, grant applications, and more. These tools have the potential to transform scientific communication and publishing, benefiting non-native English speakers and […]