What comes to our mind the moment we think of Artificial Intelligence? The intelligence which is not real, which is generated by humans, which thrives on the brains of humans. But the fact is that human mind is irreplaceable. No technology can stand-in for human brain. Still artificial intelligence is somehow reducing the efforts of humans and human, being a lazy animal is very rightly taking advantage of it. Al-powered decision-making systems are being used in almost every domain, ranging from healthcare to finance to criminal justice.However, relying completely on Al can also turn out to be dangerous because every technology has to face some challenges so does Al decision making. The first challenge in Al decision making is regarding bias in data and decision making of algorithm. The bias in Al can occur when two data sets or statistics are not considered equal. This can happen due to wrong presumptions in algorithm or possibly because of collection of biased databases. This can result into partial outcomes. Thus in order to ensure fair and unbiased outcomes for all, the addressal of this challenge is must.

The first challenge in AI decision making is regarding bias in data and decision making of algorithm. The bias in AI can occur when two data sets or statistics are not considered equal. This can happen due to wrong presumptions in algorithm or possibly because of collection of biased databases. This can result into partial outcomes. Thus in order to ensure fair and unbiased outcomes for all, the addressal of this challenge is must.

Lack of transparency can be the next crucial challenge in AI decision making. AI being a broad terminology is programmed in a way that it can fulfill human needs or objectives. Many such systems which provide desired output to users are known are “black box” systems where there is no clue to the users as to how did they reach to the desired output. It means that the internal working of such systems is either unknown or incomprehensible by the end users. AI transparency and interpretability is important concern in the domain of AI ethics. This is dilemma of concern and critically needs to be addressed.

Another challenge is that of privacy. In this era where most of our decisions are taken by AI, we cannot neglect the privacy element. Personal information of users need to be handled safely and privacy should be given utmost priority. Hence, it is a challenge which if addressed can make quick decisions for the users that too keeping their privacy in mind.

Safety is also a concerned matter when we talk about AI-decision making. There are chances of AI systems making mistakes and in such cases users face serious consequences. For example if AI- powered vehicles make any mistake in decision making then it can cause an accident which can turn out to be deadly. Thus it is important to check whether the AI systems are safe before they are used in significant implementation.

Thus we need to make sure that these challenges are overcome in near future as we are more or less dependent on AI decisions. Scientists are working on these issues and hopefully we will be having ethical AI system which benefits the whole of society soon.