The Psychologist’s Handbook for Manipulating Your Brain’s Autopilot

There is a lot of talk about the word “habit.” Your doctor may advise you to develop the “good habit” of eating five servings of fruits and vegetables a day. Your friend may be concerned about his “bad habit” of checking Twitter before bed. Perhaps you had a music teacher who made you practice scales until it became a habit.

Or maybe you are telling yourself that you want to get into the habit of going to the gym twice a week.

While these situations may make sense colloquially, psychologists are more specific about what constitutes a habit. Not everything you do regularly or desire to do becomes a habit.

Some of the scenarios mentioned are related to goals, intentions, and skills rather than the habit itself.

Routines like going to the gym regularly can become habits, but it is not guaranteed. So, what exactly is a habit? And what does it take to create a “good” habit or break a “bad” one?

What defines a habit?

In psychology, a behavior becoming a habit means that the action, or a series of related actions, is automatically triggered by certain cues in the environment.

Psychologists suggest that a habit is formed when an action, which may have started intentionally, becomes automatic over time. This is seen in behaviors done without conscious thought or will, even if the behavior is no longer pleasurable or desirable.

For instance, reaching for cigarettes after taking a sip of alcohol, even if you want to quit smoking, illustrates the automatic nature of habits.

As a behavior becomes deeply ingrained as a habit, it is controlled by brain networks associated with involuntary behavior, rather than conscious decision-making. This efficient process saves energy and space in the brain.

Researchers have shown that a specific part of the brain, the infralimbic cortex, appears to control habits and can be “switched off” to disrupt habitual behaviors.

Credit: Kyle Smart

Understanding how habits are formed and controlled sheds light on their impact on behavior, both positively and negatively. Healthy or unhealthy habits can significantly influence your lifestyle and long-term goals.

Therefore, learning to break bad habits and establish healthy ones is crucial for personal development.

How to break bad habits

Understanding the psychology behind habit formation can help you break bad habits and cultivate good ones. Start by identifying the triggers that prompt your unwanted behavior and find ways to avoid or minimize them.

For example, if you want to stop checking social media before bed, remove the trigger by keeping your phone away from the bedroom.

Changing routines and contexts associated with bad habits can also aid in breaking them.

Consider the original purpose or reward of the habit you wish to break, and find alternative ways to fulfill that need or desire.

Replace the unwanted behavior with a more desirable one to make breaking the habit easier.

How to develop new healthy habits

To establish new habits, repeat desired actions in response to specific triggers consistently over time. This pairing process creates automatic behavior.

Make the desired behavior as easy as possible to perform by reducing friction between the trigger and the action.

Reward yourself for engaging in the behavior you want to become a habit to strengthen it during the initial stages.

Consistency, dedication, and commitment are essential for forming new habits and making them automatic.

Credit: Kyle Smart

Source: www.sciencefocus.com

The Essential Handbook for Ethical and Responsible AI Governance

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Pani Dasari Hinduja Global Solutions (HGS) is a global company specializing in digitally-driven customer experiences for hundreds of world-class brands. Fani has over 18 years of experience across areas such as governance, risk, compliance, client security management, data privacy and regulatory compliance, among others.

Rapid progress in Artificial intelligence (AI) technology, fueled by breakthrough advances in machine learning (ML) and data management, has propelled organizations into a new era of innovation and automation. AI applications continue to proliferate across industries and are expected to revolutionize the customer experience, optimize operational efficiency, and streamline business processes. However, this transformation journey comes with an important caveat: the need for robust AI governance.

In recent years, concerns about ethical, fair, and responsible AI deployment have become prominent, highlighting the need for strategic oversight throughout the AI lifecycle.

Rise of AI applications and ethical concerns

The proliferation of AI and ML applications is a hallmark of recent technological advances. Organizations are increasingly recognizing the potential of AI to improve customer experiences, revolutionize business processes, and streamline operations. However, this surge in AI adoption is raising concerns about the ethical, transparent, and responsible use of these technologies. As AI systems take on decision-making roles traditionally performed by humans, questions about bias, fairness, accountability, and potential social impact are looming large.

The imperative of AI governance

As AI systems take on decision-making roles traditionally held by humans, questions about bias, fairness, accountability, and potential social impact are looming large. AI governance has emerged as a cornerstone of responsible and trustworthy AI adoption. Organizations must proactively manage the entire AI lifecycle, from conception to deployment, to mitigate unintended consequences that can damage their reputation and, more importantly, harm individuals and society. The need to do it. A strong ethical and risk management framework is essential to navigating the complex landscape of AI applications.

The World Economic Forum defines responsible AI as the practice of designing, building, and deploying AI systems in ways that empower individuals and businesses while ensuring a fair impact on customers and society. It summarizes the essence. This philosophy serves as a guide for organizations looking to establish trust and scale their AI initiatives with confidence.

Key components of AI governance



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Source: techcrunch.com