Malyaj Mishra
Data Science in your pocket
4 min readAug 2, 2024

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AI vs Human: Who is Better at What?

AI vs Human

Below is the link to our AIQ podcast episode 8, “AI vs Human: Who is Better at What,” along with a summarized version of the insightful discussion. Dive in to explore the fascinating contrasts and synergies between AI and human capabilities.

Host: Let’s start with a basic question: What is AI?

Expert: AI, or artificial intelligence, can be broadly defined as the simulation of human intelligence in machines. These machines are programmed to think and learn like humans, ranging from simple rule-based systems to complex machine-learning models that process natural language, recognize patterns, and even exhibit forms of creativity.

Host: You mentioned different types of AI. Can you elaborate on those?

Expert: Certainly. There are four main types of AI:
1. Reactive Machines: These basic models react to specific inputs without memory or learning capabilities.
2. Limited Memory Machines: These have a limited understanding of past events, enabling them to learn from historical data.
3. Theory of Mind Machines: These represent an early form of general artificial intelligence, capable of understanding human emotions and beliefs.
4. Self-Aware Machines: These AI systems possess self-awareness and consciousness.

Host: How does AI compare to humans in processing information?

Expert: AI excels at processing vast amounts of data quickly and accurately. It identifies patterns and makes predictions based on those patterns, operating continuously without fatigue. Humans, on the other hand, excel in areas requiring emotional intelligence, ethical decision-making, and complex problem-solving involving high degrees of contextual understanding.

Host: So, AI processes information linearly and mathematically, while humans use a more complex, integrated approach, right?

Expert: Exactly. AI’s strength lies in handling large volumes of data and performing repetitive tasks with high precision. Humans integrate diverse types of information and apply abstract thinking, using experiences, emotions, and social contexts to make decisions and solve problems.

Host: What tasks is AI already better at than humans?

Expert: AI excels in tasks involving large-scale data analysis, repetitive processing, and precision. For example, it is highly effective in analyzing medical images to detect conditions like tumours, executing trades in financial markets at high speeds, and handling routine inquiries in customer service. AI can also perform tasks like data entry, quality control in manufacturing, and certain aspects of legal research more efficiently than humans.

Host: Are there areas where humans are still better than AI?

Expert: Humans excel in tasks requiring emotional intelligence, ethical decision-making, and complex problem-solving with contextual understanding. In healthcare, while AI assists with diagnostics, doctors provide the necessary human touch and empathy in patient care. Similarly, in leadership roles, humans inspire and manage people, understand social dynamics, and make ethical judgments — roles that AI is not suited for.

Host: Are there tasks that AI will never be able to perform?

Expert: It’s challenging to say “never,” but currently, AI struggles with tasks requiring deep emotional intelligence, cultural understanding, and ethical reasoning. Creative endeavours, like creating art that resonates on a deeply personal level, are also challenging for AI. Tasks involving a personal touch, such as choosing a meaningful gift for a friend, are difficult for AI to handle.

Host: What about the impact of AI on jobs and employment?

Expert: AI can greatly enhance productivity and efficiency but also poses significant challenges, such as job displacement. Many roles involving routine tasks are at risk, which can lead to economic and social upheaval. It’s essential to address these impacts by investing in education and training programs to help people adapt to new roles. Ethical considerations are also crucial to ensure AI is used responsibly, avoiding biases and ensuring accountability.

Host: Do you think conventional education needs to change to keep up with AI advancements?

Expert: Yes, we need a dynamic educational system where syllabi can be updated frequently to incorporate AI advancements. Understanding the fundamentals is crucial, so we can use AI tools effectively and understand the assumptions and limitations of AI models. This combined approach of using conventional methods and AI tools will be essential.

Host: What does the future of AI and human collaboration look like to you?

Expert: I envision a future where AI and humans complement each other. AI will handle data-intensive tasks requiring high precision, while humans will focus on strategic, ethical, and interpersonal aspects. This synergy can lead to more innovative solutions and improved quality of life. However, achieving this balance requires thoughtful integration of AI, addressing ethical concerns, and ensuring the workforce is prepared for the challenges ahead.

Host: Are there recent advancements in AI that illustrate this synergy?

Expert: Yes, one exciting development is augmented intelligence, where AI systems enhance human decision-making rather than replace it. For example, IBM’s Watson assists oncologists by analyzing large volumes of medical literature and patient data to identify potential treatment options. In the creative field, AI tools are used to assist in music composition and graphic design, providing artists with new tools and inspiration while retaining creative control.

Host: What are the key challenges we need to address for a harmonious integration of AI and human efforts?

Expert: Ensuring that AI systems are transparent and their decision-making processes are understandable to humans is crucial for building trust and accountability. Addressing biases in AI is also important, as these systems can inherit biases from the data they are trained on. Ongoing education and training are necessary for people to work efficiently alongside AI, and thoughtful consideration of the ethical implications and impact on jobs and society is essential.

Host: Thank you for sharing your insights. It was an enlightening and informative discussion.

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