Navigating our future with AI ethics | Rosario Moscato

AI Ethics & Applications - AI is pervasive and interwoven in our lives, demanding responsible use to harness its power [1][2] - AI can assist in healthcare and finance, but also be misused in surveillance and market manipulation [3][4] - AI's decision-making raises the question of whether it should mimic humans perfectly, considering the lack of human emotions and experiences [5] - AI systems can be biased due to biased training data, leading to unfair outcomes in areas like facial recognition and hiring processes [6][7] - Addressing biases through diverse datasets and algorithms is vital to ensure AI systems are fair and just [8] Transparency, Accountability & Limitations - Transparency in AI decision-making is key to building trust, especially in areas like loan denials and judicial systems [9] - Explanability, the ability to understand how AI reaches decisions, is crucial in self-driving cars and healthcare [10][11] - Accountability is essential for ethical AI deployment, determining responsibility when AI systems make mistakes, such as in medical diagnoses or autonomous vehicle accidents [12][13] - AI operates on probabilities, not certainties, which is crucial to understand in fields like law and medicine [14][15] - AI excels at recognizing symbols but struggles with understanding semantic meaning and cultural nuances [16][17] Collaboration & Oversight - Establishing common ethical values globally is challenging, requiring collaboration among people, professionals, governments, institutions, and companies [19] - Technology evolves faster than regulation, making collaboration imperative to create a future where AI augments human capabilities [20][21] - Human oversight is crucial in AI systems, as human intuition can serve as a vital check, preventing potential catastrophes [22][23] - The goal should be to create a future where AI aids and enhances human decision-making, aligning technology with shared values [24][25]