Steve Kramer, Chief Scientist of KUNGFU.AI, gives an introduction to AI for non-practitioners and highlights current use cases in generative AI, computer vision, natural language processing, time series forecasting, anomaly detection, reinforcement learning, and recommender systems where AI-based systems are already performing well or offer significant promise to do so in the near future. Some key examples he dives into include creative writing and video generation, drug discovery, robotics, language understanding, climate change mitigation, and supply chain optimization. Steve focuses on recent generative AI models like Stable Diffusion and ChatGPT that have attracted broad attention across the world.
He also discusses the significant risks of AI systems related to incorrectness, bias, fairness, privacy, fraud, cybersecurity, and misinformation/disinformation followed by the current efforts in algorithmic accountability and AI ethics to minimize negative impacts or harms.
There is plenty of accessible content for those newer to AI as well as pointers to technical details for those with strong AI backgrounds who want to learn about key recent research developments.