Artificial Intelligence (AI) & Society.pptx

585 views 15 slides Mar 22, 2024
Slide 1
Slide 1 of 15
Slide 1
1
Slide 2
2
Slide 3
3
Slide 4
4
Slide 5
5
Slide 6
6
Slide 7
7
Slide 8
8
Slide 9
9
Slide 10
10
Slide 11
11
Slide 12
12
Slide 13
13
Slide 14
14
Slide 15
15

About This Presentation

Artificial Intelligence (AI)
Society
Economic Impact
Education and skill development
Ethics and bias
Health care and well-being
Privacy and surveillance
Accessibility and inclusiivity


Slide Content

Artificial Intelligence & Society Dr. A. Prabaharan Professor & Research Director Public Action

AI & Society The integration of Artificial Intelligence (AI) into society has profound implications across various domains, influencing how we live, work, and interact. Here are some key aspects of AI's impact on society:

Economic Impact Automation and Job Displacement AI and automation technologies have the potential to replace certain jobs, leading to concerns about job displacement. However , they also create new opportunities in AI-related fields and industries. Productivity Gains AI can enhance productivity in various sectors by automating repetitive tasks, optimizing processes, and improving efficiency. www.indopraba.blogspot.com

New Skill Requirements: The adoption of AI technologies introduces new skill requirements in the workforce. There is an increasing emphasis on skills related to data science, machine learning, and AI development. Lifelong Learning: Continuous learning and upskilling become essential as technology evolves, and individuals need to adapt to the changing demands of the job market. Education & Skill Development www.indopraba.blogspot.com

Algorithmic Bias: AI systems can inadvertently reflect and perpetuate biases present in training data. Addressing algorithmic bias and ensuring fairness and transparency in AI decision-making are critical societal challenges. Ethical Considerations: The ethical use of AI involves addressing issues such as privacy concerns, consent, and the responsible development and deployment of AI technologies. Ethics and Bias www.indopraba.blogspot.com

Personalized Medicine AI contributes to advancements in healthcare by enabling personalized treatment plans, drug discovery, and diagnostics based on individual genetic profiles. Mental Health Support AI applications, including chatbots and virtual assistants, are used to provide mental health support and resources. Healthcare and Well-being www.indopraba.blogspot.com

Data Privacy Concerns The increased use of AI often involves the collection and analysis of vast amounts of personal data, raising concerns about privacy and the potential misuse of information. Surveillance Technologies AI is utilized in surveillance systems, such as facial recognition, leading to discussions about the balance between security and individual privacy. Privacy and Surveillance www.indopraba.blogspot.com

Assistive Technologies AI-powered assistive technologies enhance accessibility for individuals with disabilities, providing tools for communication, navigation, and daily tasks. Digital Divide Ensuring equal access to AI technologies and addressing the digital divide is crucial to prevent disparities in access to information and opportunities. Accessibility and Inclusivity www.indopraba.blogspot.com

Energy Consumption The training and deployment of large AI models can contribute to increased energy consumption. Researchers and developers are exploring ways to make AI systems more energy-efficient. Climate Change Solutions AI is applied in climate change research, offering solutions for monitoring, prediction, and optimization to address environmental challenges. Environmental Impact www.indopraba.blogspot.com

Augmented Intelligence The concept of augmented intelligence emphasizes collaboration between humans and AI systems to enhance decision-making and problem-solving. Robotics and Automation AI-driven robotics play a role in various industries, working alongside humans in manufacturing, healthcare, and other sectors. Human-Machine Collaboration www.indopraba.blogspot.com

Algorithmic Influence AI algorithms on social media platforms influence content visibility and user experiences, raising concerns about filter bubbles, echo chambers, and the spread of misinformation. Content Moderation AI is used for content moderation to identify and address issues such as hate speech, harassment, and inappropriate content. Social Media and Information www.indopraba.blogspot.com

Legal and Regulatory Frameworks: Governments and international organizations are developing policies and regulations to address the ethical and societal implications of AI, including data protection, algorithmic accountability, and AI ethics. Policy and Regulation www.indopraba.blogspot.com

Explainable AI ( XAI) Continued emphasis on developing AI systems that are transparent and explainable to users, fostering trust and accountability. AI in Decision Support Growing use of AI in decision support systems across various industries, providing insights and recommendations to aid human decision-making. Human-Centric AI A focus on designing AI systems that prioritize human well-being, safety, and ethical considerations. Future Trends www.indopraba.blogspot.com

As AI continues to evolve, its impact on society will depend on how we navigate and address these challenges and opportunities. Balancing technological advancements with ethical considerations and societal well-being is essential for a positive integration of AI into our daily lives. End Note www.indopraba.blogspot.com

www.indopraba.blogspot.com