Dangers of AI – Bias and Discrimination
Why it matters: AI bias and discrimination can perpetuate societal inequalities, requiring ethical and technical solutions for fair outcomes.
Sanksshep Mahendra
Sanksshep Mahendra is a technology executive with success in driving, vision, strategy, design, and execution of software engineering for the web, mobile, apps, social, voice, IoT, applications along with Machine learning and AI. His expertise lies in partnering with business leaders, powering through roadblocks, and leading global teams to deliver disruptive products that advance the organization’s mission and capture game-changing results in the market. Sanksshep Mahendra has a lot of experience in M&A and compliance, he holds a Master's degree from Pratt Institute and executive education from Massachusetts Institute of Technology, in AI, Robotics, and Automation.
What is Explainable AI and Why Is It Important?
Why it matters: Explainable AI aims to make machine learning models transparent, enhancing user trust and facilitating ethical, accountable decisions.
Dangers of AI – Lack of Transparency
Why it matters: AI transparency is crucial for ethical use, building public trust, and enabling accountability in algorithmic decision-making.
What Is A Turing Test?
Why it matters: The Turing Test evaluates a machine’s ability to exhibit human-like intelligence through natural language conversation.
Brilliant Minds Behind Chandrayaan 3
Why it matters: Chandrayaan-3 achieved a historic soft landing on the Moon’s South Pole, showcasing India’s advanced space capabilities.
Top Dangers of AI That Are Concerning.
Why it matters: The dangers of AI to humankind encompass ethical dilemmas, privacy erosion, and increased societal inequality.
What is Generative AI?
Why it matters: Generative AI is transforming industries by automating creative tasks, yet it poses ethical and governance challenges.
Joint Probability: Definition, Formula, & Examples
Why it matters: Joint probability measures the likelihood of multiple events happening at the same time. Let us learn more about it.
The Sigmoid Function and Its Role in Neural Networks
Why it matters: The Sigmoid function is a commonly used activation function in neural networks, especially for binary classification problems.
One-Hot Encoding Is Great for Machine Learning
Why it matters: One-Hot Encoding transforms categorical variables into a binary numerical format, making them machine-friendly.