Azeem’s Picks: Creating AI Responsibly with Joanna Bryson
Nov 15, 2023
auto_awesome
Leading expert on AI governance, Joanna Bryson, discusses the concept of intelligence and AI, the benefits and dangers of developing AI, and the challenge of explainability in AI systems.
AI can be seen as a cognitive prosthetic, enhancing human capabilities and improving performance.
Ethical challenges in AI arise from biases, lack of explainability, and the need for human involvement and accountability in AI systems.
Deep dives
The Importance of Ethics in AI
Ethics in AI are crucial due to the significant impact AI has on society. With AI systems becoming more prevalent, it is important to control and frame its impact. AI should be built with human responsibility and accountability in mind. By understanding the extent of AI's impact, we can work towards addressing ethical concerns and ensuring fair and responsible AI development.
Defining Artificial Intelligence
Artificial Intelligence can be defined as an artifact built by humans that expresses intelligence. Intelligence, in its simplest form, is behaving appropriately to the context and transforming information into action. While goals may be important for intelligent systems, humans also exhibit implicit behaviors and actions that are not explicitly planned beforehand. People often have pre-existing goals gifted to them via evolution, impacting their behavior and decision-making.
AI as a Cognitive Prosthetic
AI can be understood as a cognitive prosthetic, allowing individuals to offload certain tasks and enhance their ability to act within their context. AI serves as a tool for extending human capabilities and improving performance. Similar to other historical prosthetics, such as pen and paper or plows, AI enhances our capacity to accomplish tasks and should be seen as a part of our technological evolution.
Challenges and Solutions in AI
Ethical challenges in AI arise from biases, lack of explainability, and security concerns. Machine learning systems have shown biases in various domains, manifesting in socially unacceptable outcomes. Ensuring human involvement in AI systems and maintaining the freedom to think differently are vital. Additionally, the need for explainability and transparency in AI systems is paramount. Best practices, professional standards, and regulatory frameworks should be developed to establish accountability and ensure responsible AI development.
Artificial Intelligence (AI) is on every business leader’s agenda. How do you ensure the AI systems you deploy are harmless and trustworthy? This month, Azeem picks some of his favorite conversations with leading AI safety experts to help you break through the noise.
Today’s pick is Azeem’s conversation with Joanna Bryson, a leading expert on the questions of AI governance and the impact of technology on human cooperation.
They discuss:
The concept of intelligence and AI as a “cognitive prosthetic.”
The scale of development and the benefits of developing AI.