M Gopiramon Singh
The world of Artificial Intelligence has been growing leaps and bounds with factions like machine learning and deep learning coming into existence. Gauging and truly understanding AI and its factions can often seem like a tedious task. However, the entire world is being swept up by the data revolution so it becomes handy to assimilate enough knowledge about scientific reasoning and statistical knowledge that lie behind the codes and numbers enumerated in AI.
AI is a branch of Computer Science concerned with developing a software or system which mimics the human intelligence. In reality, we use the term AI today, we are usually referring to a technology known as “machine learning” and “deep learning”. Rather than simulating every aspect of natural intelligence like robots in moon, this simply refers to software algorithm able to learn-becoming better at carrying out a specific task when they are exposed to more data.
AI sees applications in various tasks and activities that are ingrained in a normal individual’s day-to-day life. For example, it allows Siri, Google Assistant or Alexa to understand what you are saying- both enunciation and language- and responds accordingly. It even allows Alexa or Google translate text when you visit a foreign-language website. It is capable of identifying and generating images, generation of speech and language recognition and even used in concurrence with reinforment learning that attempts to match human-level performance in games like Go, Dota 2 and Quake III. AI is frequently utilized to present individuals with personalized suggestions based on their searches and purchases and other online behavior.
Computer vision for automated, driverless cars is another application. In healthcare, AI can provide accurate analysis of diseases to doctors and help them treat better and also make medical decisions. It has found a firm footing in drug discovery, medical imaging (MRI, CT scans) and treatment of Alzheimer’s diseases, which can be detected at an early age using AI. Genome mapping is another area being developed by deep learning since the technique can help researchers learn everything there is to know about genome and get an early understanding of what diseases might occur in patients in the future. Humanoids are also being extensively worked upon and developed which is made possible by AI since they need to act “human”. A good example of this future is the robot Sophia, a humanoid created by Hanson Robotics.
AI innovations over time have significantly transfigured the way stock markets function and thus have impacted the way securities are actively traded. AI stock trading uses machine learning, sentiment analysis and complex algorithms predictions to analyze millions of data points and execute trades at the optimal price. AI traders also analyze forecast markets with accuracy and efficiency to mitigate risks and provide higher returns.
Recent developments in artificial intelligence (AI) are making the future of content generation and technology look very promising. Content generation using AI tools is all the rage these days. There will not be a second on the internet where you will not come across the mention of a tool that can be used to generate content of any sort or a piece of AI-generated content. The tools that are available allow users to generate everything from text to videos and still images just based on text prompts.Stable diffusion is a latent text-to-image diffusion model capable of generating photo-realistic images given any textinput, cultivates autonomous freedom to produce incredible imagery, empowers billions of people to create stunning art within seconds. Synthetic Media is set to transform the landscape of content creation and advertising. OpenAI’s GPT-3 language Generator has demonstrated impressive abilities in producing fast media forms, including creative piece such as a fan fiction and poetry. OpenAI is not alone in this field. Google recently launched Imagen Video, a text-to-video AI tool that uses 14 million videos and 60 million images to create video clip from text prompts.
SHAZAM is remarkable example of AI innovation in the music industry. The app uses intelligent technology to identify songs in a matter of seconds by comparing fingerprint of the audio to its library. Spotify’s AI algorithm generates “discovery weekly” playlist based on a user’s listening history and analysis of other users’ preferences. Artificial intelligence in music production has led to AI audio mastering services taking a major market share from traditional mastering engineers, with LANDR being a major player. As AI continues to evolve we can expect more innovative applications in the music industry, revolutionizing the way music is created, performed, and distributed.
The list of applications of AI can go on and on. On the other hand the world has been debating about the ethics of using AI. The potential harm caused by the spread of fake videos, propaganda and explicit content raises concerns about people’s emotion, privacy, consent and social biases. There is the issue of authorship. Some argue that AI-generated art lacks human touch and creative intent that is necessary to truly be considered art. Another issue is the question of ownership. Who owns the rights to an AI-generated artwork? Is it the person who programmed the AI, the person who inputted the prompts, or the AI itself? This question is still largely unresolved.
Unlike humans, AI can analyse, predict, and navigate business problems with unmatched efficacy and accuracy. While performing its functionality and predictions, it only can use pre-given data, and sometimes due to some inherent faults, it cannot implement its expected outcome. Thus, rendering jobs that involve repetitive tasks become obsolete. This leads to the forbidding notion – is AI replacing human intelligence? The answer is quite the opposite.
Several human jobs have been automated with the help of AI such as analyzing vast datasets, providing customer service, etc. thus, freeing human resources to focus on more creative aspects such as research, innovation, and growth. Having said that AI alone cannot achieve absolute autonomy without the help of humans a combination of effective AI systems combined with human intellect will pave the path to success for businesses in the future.Even if AI has some constraints, combining AI and humans can have a positive effect by incorporating more human judgment and decision- making alongside AI judgment.
Human-centered judgment promotes ethical considerations, humanistic, logical reasoning, and collaboration among innovating technical breakthroughs in the workplace. AI is being created to make a beneficial impact on humanity. Therefore, human intelligence is very important in strategic planning and judgment based on analysing situations and AI-technology predictions.
The writer is Assistant Professor, Department of Computer Education, St Joseph’s College, Jakhama.
