2024-10-23 One-Minute Post

OAIC releases new AI guidance for Australian businesses, while Apple’s Craig Federighi emphasizes caution with AI to protect privacy. Quantum computing’s ethical risks, AI bias prevention, and Holistic AI’s open-source library for responsible AI are making waves. Hong Kong is exploring a new model framework for AI fairness, and Acuity Insights reveals skepticism about AI fairness in college admissions.

Articles we found interesting:

1. OAIC's New AI Guidance: Navigating the Privacy Landscape for Australian Businesses link Highlight: In a landmark move, the Office of the Australian Information Commissioner (OAIC) has released new guidance on privacy and artificial intelligence (AI) …
2. 'We want to get it right': Inside Craig Federighi's vision for Siri, privacy and Apple's cautious … link Highlight: Apple's software chief Craig Federighi explained why the company is being cautious as it ramps up its AI capabilities, especially with Siri, …
3. Are humans reading your AI conversations? - Computerworld link Highlight: Think twice before sharing sensitive business data or private personal details. privacy breach hacked vulnerability binary eye. Credit: Thinkstock.
4. Consider the ethical impacts of quantum technologies in defence — before it's too late link Highlight: Quantum computing could enhance the performance of AI, exacerbating its existing ethical risks, such as bias, lack of transparency and problems with …
5. Showing AI users diversity in training data boosts perceived fairness and trust | ScienceDaily link Highlight: … bias, and user feedback on AI trust. Human–Computer Interaction, 2024 … biases in sets of images used to train artificial intelligence (AI) systems.
6. AI Bias: What It Is and How to Prevent It | Built In link Highlight: AI bias occurs when an artificial intelligence system makes imbalanced or unfair decisions. These systems learn from large datasets, and if that …
7. Holistic AI Launches Open-Source Library to Advance Responsible AI - Morningstar link Highlight: … fair and responsible AI systems. AI architects and developers can now … fairness is paramount. It is essential that algorithms do not …
8. Hong Kong's AI Leap: Exploring the New Model Framework - Regulation Asia link Highlight: Testing and validating the AI models to ensure the AI models' reliability, robustness and fairness;; Minimising the risk of attacks against machine …
9. Acuity Insights Reveals Key Findings on Applicants' AI Usage and Perceptions in College … link Highlight: Skepticism About AI's Fairness Despite the growing use of AI, 65% of respondents chose not to use these tools when applying, citing concerns about …

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