2024-02-18 One-Minute Post

Welcome to One-Minute-AI-Fairness-And-Privacy! AI took center stage at the State of the Net Conference, addressing challenges like algorithmic discrimination and data privacy. Meanwhile, tech companies have signed an accord to combat AI-generated election trickery, emphasizing the importance of privacy and ethical implications. On the privacy front, there’s a shift towards privacy-centric marketing, leveraging first-party data and AI for advertising performance. In the realm of bias, a US-based study revealed that online images reinforce gender stereotypes more than text, highlighting the need to address bias in AI tools. Additionally, AI’s redefining data-based roles, with a growing responsibility to avoid AI bias and collaborative testing. As AI tools become popular in hiring processes, there’s a focus on eliminating biases to ensure fair recruitment. Stay tuned for more updates on AI, privacy, and fairness!

Articles we found interesting:

• 1. AI Dominates Annual State of the Net Conference, While Some Topics Never Go Away link Highlight: … artificial intelligence (AI), both on stage and off. Yet other … Speakers covered challenges ranging from algorithmic discrimination to data privacy …

• 2. Are you really ready for a new era of privacy-centric marketing? | Opinions - Campaign Asia link Highlight: We're building new technologies to deliver advertising performance without privacy compromises. Google's approach centres on first-party data, AI, and …

• 3. Tech Companies Sign Accord to Combat AI-Generated Election Trickery - SecurityWeek link Highlight: … AI chatbots to communicate with voters to adding AI-generated images … ChatGPT, the AI Revolution, and the Security, Privacy and Ethical Implications.

• 4. Online images reinforce gender stereotypes more than text: Study - TODAY link Highlight: … bias against women, a US-based study said on Wednesday (Feb 14) … This audio is generated by an AI tool. Published February 18, 2024. Updated …

• 5. How AI is redefining data-based roles - VentureBeat link Highlight: Avoiding AI bias is also the responsibility of AI app developers, so collaborative testing must be ongoing. Data architects. Data architects bring …

• 6. The Unintended Consequences of AI in Hiring Processes - ISP Today link Highlight: Artificial intelligence tools have become increasingly popular in the hiring process, aiming to streamline recruitment and eliminate biases.

Updated Everyday by: (Supriti Vijay & Aman Priyanshu)