Bloomberg Center for Government Excellence’s Post

Artificial intelligence (AI) bias is where AI systems inadvertently reflect prejudices from their training data or design. Why should you care? Because AI is already creeping into our lives, from healthcare to financial services, and the world is still grappling with how we regulate its impact. Biased data can have disastrous consequences. I explore a few real-life examples of why tackling machine bias is already becoming headline news. #artificialintelligence #technology #future https://lnkd.in/ePW8d34V

AI expert from Johns Hopkins Institute for Assured Autonomy praises the Government Accountability Office's new report on generative AI, calling it a much-needed step towards understanding and regulating this rapidly advancing technology. Read the full article here: https://lnkd.in/gAWzHNij #AI #GenerativeAI #Technology #Government #Innovation #JohnsHopkins #GAO #ArtificialIntelligence #TechNews

✍️Playing Chor Sipahi that is ur Gen AI : read on .. : '.. be difficult to spot AI-generated images, video, audio and text at a time when technological advances are making them increasingly indistinguishable from much human-created content, leaving us open to manipulation by disinformation. But by knowing the current state of the AI technologies used to create misinformation, and the range of telltale signs that what you are looking at might be fake, you can help protect yourself from being taken in. World leaders are concerned. According to a report by the World Economic Forum, misinformation and disinformation may “radically disrupt electoral processes in several economies over the next two years”, while easier access to AI tools “have already enabled an explosion in falsified information and so-called ‘synthetic’ content, from sophisticated voice cloning to counterfeit websites”. ...' - Extract #newscientist #genai #fakes #deepfakes #synthetic #skdscans

With the emergence of systems resembling human thought processes, led by innovators such as OpenAI, we now have the opportunity to explore the vast potential of AI and its implications for the future of business. With transformative potential comes significant challenges. As businesses adopt these advanced systems, understanding the capabilities and limitations of AI reasoning will be crucial. Organizations must approach AI integration with a clear strategy—leveraging strengths while acknowledging weaknesses. Ethical implications, data privacy, and the need for transparency in AI decision-making processes cannot be ignored. #AIInBusiness #ArtificialIntelligence #BusinessTransformation

A very insightful article on the risks of extremely powerful open source AI models that are released without any safety net. Since most people will access such models through 3rd party services, the high sophistication of these models makes it difficult for them to differentiate between beneficial AI and harmful AI. There is also a possibility of an AI black market where such powerful models trained on sensitive data are released via open source mechanism that spill out damaging information. All one would need is a set of specific prompts. Thanks Devdatt Dubhashi for sharing!! #genai #artificialintelligence #airisks #responsibleai #deepfake #aiagents #aiforgood #airegulation

It’s a new year with new AI risks. Take a look at this week’s Armilla Review, a weekly digest of important AI industry news and its impact on the market, government, academia, and more. This week, we dive into: ⭐️ How algorithms in government services are impacting lives ⭐️ The new study revealing AI sleeper agents and the hidden risks in open source language models ⭐️ Insights from Chief Legal Officers on GenAI’s risks and opportunities Check out the full newsletter here: https://lnkd.in/gp34CutQ #AI #AIPolicy

Intelligence agencies are cautiously incorporating generative AI, a type of artificial intelligence that can create new data, into their operations. While recognizing the potential benefits like analyzing vast amounts of data or creating realistic simulations, they are wary of its limitations. These models can be biased or prone to errors, and the agencies emphasize that AI won't replace human analysts who can provide crucial context and judgment.  Overall, the embrace of generative AI is happening carefully, with a focus on its potential to support, not supplant, human intelligence gathering. Read more 👉https://lnkd.in/gHVUyiAf #AI #GenerativeAI #MachineLearning #AIandGovernment #LLMs #ResponsibleAIGOv #Technology #TechSolutions #SafeUse #DataAnalysis #Australia #Innovation with SHAVIK Visit www.SHAVIK.ai

After taking the online public data for training purposes, GenAI is coming after your workplace data, And it's ok. ''It’s also just the latest chapter in the ongoing story of human technological advancement. AI should be based on human discovery and knowledge and crafted with human-centric attributes of privacy and quality in mind. In the dance of co-creation with AI, humans must always take the lead.'' A great read by Fast Company https://lnkd.in/ewe9HrcM #AI #Technology #Innovation #DataPrivacy #HumanCentric #data