In this expert session, Antonia delves into the intricacies of artificial intelligence (AI), discussing various types and their applications, as well as the ethical concerns surrounding their development and implementation. Antonia begins by introducing different types of AI systems, such as neural networks and machine learning, which includes deep learning models like convolutional neural networks (CNNs) for image recognition and large language models (LLMs) for natural language processing. She also covers recurrent neural networks (RNNs), deep reinforcement learning, and generative adversarial networks (GANs).
Furthermore, Antonia discusses different levels of intelligence in AI, including artificial narrow intelligence (ANI), artificial general intelligence (AGI), and artificial super intelligence (ASI), and shares a brief history of AI development, mentioning milestones like the invention of digital computers, Alan Turing's Turing test, the Dartmouth Conference, and the creation of early AIs. The ethical concerns related to AI are a significant part of this expert session. Antonia emphasizes the importance of addressing biased training data and underrepresentation in AI to prevent safety and equality issues. She provides examples of biased AI systems, such as Amazon's resume screening system, and discusses the environmental impact of AI, particularly large language models like ChatGPT that require significant energy for cooling.
Creative theft, job displacement, and misinformation are other ethical concerns Antonia touches upon. For instance, she mentions that AI can be used to generate false information that manipulates public opinion and discourse. However, the expert session is not all about the potential downsides of AI. Antonia highlights positive applications of AI for marginalized communities, such as accessibility and assistive technologies, healthcare, education, financial inclusion, and social justice. She emphasizes the importance of involving communities in creating solutions to address their needs.
Antonia discusses job tasks least likely to be replaced by AI due to human dexterity and empathy. For example, she uses a hairdresser's role as an example of a task requiring a high degree of manual skill and emotional connection with clients. In response to questions from the audience, Antonia suggests providing users with a choice between generative AI chatbots and allowing them to choose their preferred interaction method depending on the context of the application. She also shares her personal experiences of frustrating interactions with unresponsive AI customer service agents and emphasizes the importance of human connection in such situations.
Finally, Antonia discusses the topic of bias audits in AI systems to prevent reinforcing biased decisions and promote diversity within teams and organizations. She encourages everyone to educate themselves about potential biases and make informed decisions for a better future. In conclusion, this expert session offers a clear and balanced depiction of Antonia's insights into the different types of AI, their applications, ethical concerns, and positive impacts on marginalized communities.
