Nikhil Rangpariya’s Post

#riskmanagement #ai #ethics #notes: AI = intended bias. That's not speculation; that's fact. Intended bias is an inherent feature in all systems that make decisions, including humans, other animals, and machines. When applied to AI, the algorithm favors and promotes a particular value or set of values. All decisions do that. To make a decision is per definition to favor some value over others. That is, no decision system, including AI systems, are or can be value-free. There's nothing strange about that, and there's nothing we can do about it, even if we wanted to, since making decisions is per definition to favor some values over others. But as constructors or users of AI systems (or any decision making tool) we want the system to promote certain values and not others — that is the whole purpose of building and using any such systems. What we can do and need to do is to be aware that this is the case, and to be aware of which values are promoted and which are not; that'll be important for both the system and the users of the system.

Had a thought-provoking discussion on AI today. We explored its limitless potentials in both the IT industries and our daily lives. However, without establishing ethical guidelines to it's usage, we are creating somethings that most likely will be unmanageable in the future. We also delved into the similarities and differences between AI and the semantic web. While both aim to structure and understand information, AI focuses on learning and problem-solving, while the semantic web emphasizes interoperability and knowledge representation. What are your thoughts on the future of AI? Let's discuss the opportunities and challenges ahead. #AI #technology #future #ethics #semanticweb

Artificial intelligence is incredibly powerful but like every other tools online, it is also susceptible to human biases. If we're not careful, these biases can be amplified and perpetuated by different AI systems. To guard against things like this we have ensure that the data used to train AI models is diverse and representative. A biased dataset can lead to biased outcomes. Also we need to be mindful of the algorithms themselves. Some algorithms can introduce biases, even if the data is unbiased. Lastly I believe we need to invest in research and development to create AI systems that are more transparent, explainable, and accountable. #AI #Bias #Ethics #Future

Thrilled to share that I've completed the course "Ethics in the Age of Generative AI"! This journey has been enlightening, diving deep into the ethical considerations and implications of AI in our lives. It's crucial for us to stay informed and responsible as we shape the future of technology. #GenerativeAI #EthicsInAI #ContinuousLearning  🚀🤖

Directors and NEDS we all have a responsibility to be a “Steward of a Human Centred Future”, when moving into the AI world, bias and data impurity could exacerbate and marginalise minority groups at pace. What Ethical AI guardrails does your organisation have and how is it governed? Just finished "Ethics in the Age of Generative AI" by Vilas Dhar! Check it out: https://lnkd.in/etd8Xrks #generativeai, #computerethics.

Unlocking the Mind of the Machine: Decoding AI's Decision-Making Process 🤖 At HK Infosoft, we’re passionate about exploring how Artificial Intelligence is reshaping our world. Our latest blog examines the fundamentals of AI decision-making, the critical role of data, and the impact of machine learning techniques. We also discuss the challenges of bias, transparency, and the importance of human oversight in AI processes. Discover the challenges and ethical considerations involved, and join us in envisioning the future of intelligent decision-making! 🔗 Read the full article here: https://lnkd.in/dp6Aq7NW Let’s spark a conversation! What are your thoughts on the role of AI in decision-making? 💬 #HKInfosoft #Blog #AI #MachineLearning #DecisionMaking #Ethics #Innovation 

AI is everywhere! But should we welcome it with open arms or proceed with caution? 🤔 Our latest blog post on iCre8solutions explores the promises and potential pitfalls of artificial intelligence. AI is rapidly changing how we work, but it's important to understand its implications and ensure we use it responsibly. What are your thoughts on the evolving role of AI in business? Share your insights below! https://lnkd.in/gq4z2HZc #AI #artificialintelligence #automation #ethics #futureofwork

As IT professionals, how do we keep pace with innovation while ensuring safety and ethics? Tobias Koprowski shares insights on the critical need for swift and comprehensive AI regulations. From the European AI Act to global movements, the landscape of AI governance is rapidly evolving. Keep up with the most recent developments with our course, 'Ethical AI', where Tobias explores the changing IT landscape and the role that government regulations will play in the near future. 👉 Learn more about our 'Ethical AI' course here: https://lnkd.in/eXRFxvNz #Readynez #AIRegulations #EthicalAI #DigitalFuture #IT #AI

From OpenAI's groundbreaking launch of GPT-4 to the growing importance of safety, fairness, and privacy in AI development, the journey towards aligning AI with human values is gaining momentum. I explore the challenges faced by entrepreneurs and executives in this journey, offering actionable strategies to ensure AI products not only deliver efficiency but also prioritize safety and ethical considerations. Check out the article for a deep dive into navigating the complexities of AI value alignment and embracing new practices to meet societal expectations. #AI #Ethics #HumanValues #Innovation #TechForGood

Excited to explore the realm of #DeepFake and its ethical implications with Deepworker! 💡 As technology advances, it's crucial to discuss the responsible use of this powerful tool. Let's delve into the complexities of preserving trust and authenticity in digital content. Join the conversation as we navigate the fine line between innovation and ethical considerations. 🙄🤥🤔 #Deepworker #EthicalTech #AI #Einstein 🌐🔍