Managing Ethical Challenges in AI Environment
Overview AI technology is being implemented virtually by every industry in some form or the other, which along with business innovations has also lead to AI ethical issues popping up. In this article, we talk about the ethical challenges in AI, and how we at Repustate, manage these issues while developing our products and solutions.
What Are The Major AI Ethical Issues? There are several major Ethical Challenges in AI. In everyday business, there is the issue of AI-based social media designed marketing that uses data to track people’s information and use it for advertising without consent. Then there is the lack of accountability in certain areas of defense and surveillance which are shaded gray. Another challenge that AI poses is that even though it has augmented efficiency and productivity, it has lead to a growing chasm between giant enterprises like Amazon and small & medium businesses. Let’s discuss these and other challenges in detail. 1. Data Privacy 2. Bias 3. Accessibility 4. Morality 5. Carbon emissions
How Can We Manage Ethical Challenges in AI As all things artificial go, ultimately these are man-made issues, and can be addressed through sound business regulations, resourcefulness, and adherence to privacy and security laws. At Repustate, we take ethical challenges in AI very seriously and are cognizant of them while developing our sentiment analysis platforms and working with clients all over the world.
Data privacy AI ethical issues somehow or the other always revolve around data privacy because at the end of the day you are either using data for training a model or processing data using an API. At Repustate, even our own data scientists have no access to a client’s data unless given express permission. As our sentiment analysis API processes millions of API calls a day, it accesses data which can be very sensitive. Our clients in healthcare, brand reputation management, quantitative trading, government, and numerous other sectors trust us with their sensitive data, and we in return make sure that there is zero chance of a data breach. It is for this reason that our platforms are available as an on-premise installation behind your firewall, as well as a cloud API.
Bias As we read earlier, the bias that an AI machine has, is almost always because of the quality of the data that is used to train it. We offer a truly multilingual video content analysis and social media listening platform for emotion mining that can cater to businesses with a diverse customer base, with high efficiency. Our models never use translations because every single one of the 23 languages our platforms are available in has a unique part of speech tagger, developed precisely for that language. Research shows that businesses can grow at a significant pace if they cater their content to their customers in the language they speak. That’s why we support our clients in their endeavour to reach wider markets by providing customizable, machine learning models that offer several NLP and ML tasks including search inside video, while analyzing data in the native tongue, without translations. This ensures accurate customer and employee insights, whether you are a healthcare provider or a retailer.
Accessibility AI ethical issues also pertain to how easily it is accessible to businesses. Every organization, however modest, should be able to use machine learning to enhance their productivity and, as a result, their ROI. Repustate has always believed in making high accuracy and agile machine learning models available to all customers, regardless of their size. Whether you are a small and medium size (SMB) company that wants to analyze a new target market, or a government organization that wants to completely overhaul the country’s education delivery method, Repustate ensures that you get the best AI-powered sentiment analysis and text analytics solution whatever the scale of your project.
Morality The past few years have shown how AI bots were used on social media for divisive propaganda and to change the social narrative. Being in business with an organization that does not follow protocols, care about business ethics, or take responsibility for its social impact, means agreeing with them in principle. Repustate is highly cognizant of this, one of many, ethical challenges in AI. Our customers are highly respected and admired - of all sizes and in all fields because we believe that profitably in business should go hand in hand with building sustainable socio economic advancement of communities.
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